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  • Introduction to Machine Learning in R

    No date given

    London, United Kingdom

    Introduction to Machine Learning in R https://tess.elixir-europe.org/events/introduction-to-machine-learning-in-r-6bc0acea-f52c-402c-86bf-0218b8fa46e5 Presented by Nicholas Attilades & Chris Musselle  Level - Professional CPD 12 hours This is a two day course covering the fundamentals of machine learning and the methodology for applying these to real-world analytics problems. The course outlines the stages involved in a machine learning analysis, and walks through how to perform them using the R programming language and the caret library. Participants will be provided with exercises to complete through the course in order to gain hands-on experience in using the methods presented. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • The Big RSS Quiz Night

    No date given

    London, United Kingdom

    The Big RSS Quiz Night https://tess.elixir-europe.org/events/the-big-rss-quiz-night Join us for our first ever RSS quiz night! Bring your friends, colleagues and brain power to take on eight rounds of questions that will test your general knowledge, logic and memory. You don’t need to be a professional statistician to succeed in this quiz. Drinks and nibbles will be provided throughout the evening. You can organise your own team (max. 6 people) or we can help match you up with some teammates on the evening. Agenda: 17.30 - 18.30 Networking drinks 18.30 - 20.00 Pub Quiz Event Fees: Fellows: Free  Non-Fellows: £15 Registration with payment is required. Please register here   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Consultancy Skills

    No date given

    London, United Kingdom

    Consultancy Skills https://tess.elixir-europe.org/events/consultancy-skills-62f32c7f-eeba-4a84-99c7-c6fdb55e38b1 Presented by Roland Caulcutt and Julie Bullen Level - Foundation CPD 12 hours This is a highly participative and practical two day training course for statisticians who wish to improve their consultancy skills non-statistical clients.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Data Science and Machine Learning

    No date given

    London, United Kingdom

    Data Science and Machine Learning https://tess.elixir-europe.org/events/data-science-and-machine-learning David Robinson, Senior Manager - Data Science at Capital One, will start his talk with a brief history of Statistics and Data Science at Capital One: how we got here, what's changed, and what the current expectations and challenges are in the era of "Big Data" and "Machine Learning". The main technical focus will then be on the use of "Gradient Boosting Machines", which over the last few years have emerged as the modelling method of choice for most classification problems within Financial Services. David will cover what they are, why they have become popular and how many of the practical considerations and pitfalls of traditional statistical techniques still very much apply. Example uses will focus on credit risk and affordability, looking at how we can ensure we make fair lending decisions when faced with unfair and biased data. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Women in Statistics: Past, Present, & Future

    No date given

    London, United Kingdom

    Women in Statistics: Past, Present, & Future https://tess.elixir-europe.org/events/women-in-statistics-past-present-future Join us to celebrate Women in Statistics and Data Science on International Women’s Day 2019. An event organised jointly by the Young Statisticians Section & History of Statistics Section of the Royal Statistical Society. Agenda: 16:30 to 17:00: Registration with refreshments 17:00 to 17:30: Women in Statistics: Past 17:30 to 18:00: Women in Statistics: Present 18:00 to 19:00: Women in Statistics: Future This event will be followed by a Drinks Reception sponsored by Phastar   Speakers: Dr Linda Wijlaars (University College London) Professor Deborah Ashby (Imperial College London, RSS President) Dr Susan Lovick (Phastar) Dr Lauren Rodgers (University of Exeter, Women in Mathematics Committee) Fatima Batool (University College London, Women in Data Science) Maria Skoularidou (MRC Biostatistics Unit, University of Cambridge, RSS Women in Statistics and Data Science Special Interest Group)   Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • PSI Webinar: Statistical Engagement with Commercial Activities

    No date given

    London, United Kingdom

    PSI Webinar: Statistical Engagement with Commercial Activities https://tess.elixir-europe.org/events/psi-webinar-statistical-engagement-with-commercial-activities About the Event: An interesting webinar with three speakers looking at how pharmaceutical statisticians can engage with their commercial and other business teams. Camilo Zapata will introduce the field of “business analytics” in the context of pharmaceuticals, Helena Baptista will talk about how we can measure the effectiveness of our communications and Lucy Frith will speak about communicating efficacy data in a manner appropriate for health care professionals. Speakers: Camilo Zapata (Alkermes)  Abstract: Business analytics is the “discipline” in charge of identifying and leveraging meaningful patterns in data to drive or inform business decisions. It is multidisciplinary in nature as it operates at the intersection between mathematics/statistics, computer science and management.  In this talk we will discuss how these three areas converge to deliver impactful results and share some relevant examples. We will also talk about what characteristics an organization requires in order to leverage this discipline as in the business world the ability to impact decisions is not only determined by the quality of the analyses, but also the robustness of the processes, the skills of the decision makers and the approachability of the results.  Helena Baptista (Lilly)   Abstract: We have been measuring the efficacy and safety of our medicines for a long time. What are we doing to measure the efficacy of our promotional strategies? Developing great medicines is key, but if we fail to let the scientific community know when and why they should use our products, patients that would benefit the most will hardly get access to them. We need to provide directions to the marketing teams on how, when and how often to reach the interested health care providers. On top, in Europe, we need to do that with limited access to data. We will discuss what we can do and where do we have the biggest challenges. Lucy Frith (GSK)      Abstract: Working with a commercial organisation provides a varied array of tasks that often need complex analyses explained in a very concise but transparent way. This can lead to re-use of study data to present the results in a manner that meets the specific needs of different external groups such as health care professional (HCPs). Two such examples will be presented here. Firstly, overlaying the costs of treatments and patient care onto patient outcomes to support discussions with payer groups. Secondly, using Markov Chain modelling to utilise long-term data and provide Health care professionals a presentation of the data that aligns to the probability of a patient changing health status in a given period of time. To give further context to how these presentations of data could be used, such work is reviewed using data collected in a traditional efficacy study and in a pragmatic effectiveness situation. Please click here to view the flyer. Click here for further information regarding the webinar. Registration PSI Member:  Free Non-member: £20 (plus VAT)                                                                              Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • A Statistician’s Adventures in Wonderland: Using Statistical Theory, Epidemiology and Clinical Trials for Public Health Impact

    No date given

    London, United Kingdom

    A Statistician’s Adventures in Wonderland: Using Statistical Theory, Epidemiology and Clinical Trials for Public Health Impact https://tess.elixir-europe.org/events/a-statistician-s-adventures-in-wonderland-using-statistical-theory-epidemiology-and-clinical-trials-for-public-health-impact Prof Deborah Ashby (Imperial College London and RSS president) About the event: Statistical theory, making epidemiological observations and carrying out incisive analyses of them, and designing and carrying out elegant clinical trials are all absorbing, challenging academic activities in their own right. However, sometimes we can be left wondering ‘So what?’. Using those underpinning sciences to make a tangible difference to people’s health sometimes means going the extra mile, and venturing into worlds beyond the ivory tower. Drawing on Deborah’s experiences from the worlds of academia, drug regulation and research funding, she will look at some examples that have made a difference, reflecting on both the scientific underpinnings, and the pathways to making an impact, as well as her personal reflections on that journey. Timings: 13:00-14:00 (Talk + Q&A) 14:00-14:30 (Refreshments)  To help us with planning the event, please RSVP here. (Eventbrite will email you tickets but you can ignore them.) Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Probability For Topological Data Analysis

    No date given

    London, United Kingdom

    Probability For Topological Data Analysis https://tess.elixir-europe.org/events/probability-for-topological-data-analysis About the event: The Applied Probability Section of the Royal Statistical Society is happy to announce a half-day meeting on Probability for Topological Data Analysis Programme: 14:00-14:45 Frederic Chazal (Inria Saclay Ile-de-France): Title: On the density of expected persistence diagrams and its kernel based estimation Abstract: Persistence diagrams play a fundamental role in Topological Data Analysis (TDA) where they are used as topological descriptors of data represented as point cloud. They consist in discrete multisets of points in the plane that can equivalently be seen as discrete measures. When they are built on top of random data sets, persistence diagrams become random measures. In this talk, we will show that, in many cases, the expectation of these random discrete measures has a density with respect to the Lebesgue measure in the plane. We will discuss its estimation and show that various classical representations of persistence diagrams (persistence images, Betti curves,...) can be seen as kernel-based estimates of quantities deduced from it.  This is joint work with Vincent Divol (ENS Paris / Inria DataShape team).   14.45--15.30 Florian Pausinger (Queen's University Belfast) Title:  Persistent Betti numbers of random  Cech complexes Abstract:  We study the persistent homology of random v{C}ech complexes. Generalizing a method of Penrose for studying random geometric graphs, we first describe an appropriate theoretical framework in which we can state and address our main questions. Then we define the k-th persistent Betti number of a random v{C}ech complex and determine its asymptotic order in the subcritical regime. This extends a result of Kahle on the asymptotic order of the ordinary k-th Betti number of such complexes to the persistent setting. Joint work with Ulrich Bauer (TU Munich). 15.30--16.00 Break   16:00--16.45 Primoz Srkaba (Queen Mary University of London) Title: Local-to-Global Stability Results for Persistence Abstract: One of the main reasons for the popularity of persistence (and the corresponding invariant - a persistence diagram) is stability - under a certain class of perturbations, the difference output is well-behaved (can be bounded by the size of the perturbation of the input). The algebraically most natural metric for measuring the size of the perturbation is called the bottleneck distance. Unfortunately, this metric is a sup-norm, so proving convergence in statistical settings can be difficult. I will present the classical stability results as well as new results for Wasserstein distances. Finally, I will discuss how local errors relate to global errors for persistence both for bottleneck and Wasserstein distances. No background in persistence will be assumed for the talk.   16.45--17.30 Open problem and brainstorming session  Registration alongside tea and coffee will be open from 1.00 pm     Event Fees: Fellows: Free  Non-Fellows: £25 Registration is required. Please register here.   To subscribe for announcements about applied probability events, please send an email to listserv@jiscmail.ac.uk with no subject and the following body text: SUBSCRIBE appliedprob <Forename> <Surname> Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Introduction to Python

    No date given

    London, United Kingdom

    Introduction to Python https://tess.elixir-europe.org/events/introduction-to-python-15805e27-fdb7-468e-9320-b6723920b042 Presented by Rob Mastrodomenico Level - Foundation CPD 12 hours This course is intended to be an Introduction to the Python programming language. Through the use of taught material and practical examples, participants will build up the skills needed to perform data analysis using Python.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Merseyside Meeting – Perspectives on Risk

    No date given

    London, United Kingdom

    RSS Merseyside Meeting – Perspectives on Risk https://tess.elixir-europe.org/events/rss-merseyside-meeting-perspectives-on-risk The meeting will showcase how risk is considered and modelled in different areas of research.  We welcome confirmed speakers Dr Jet Sanders from the London School of Economics, Dr Edoardo Patelli from the Risk Institute, University of Liverpool, and Dr Helen Clough from the Farr Institute, University of Liverpool.  More information and registration link for the event can be found at https://sites.google.com/site/rssmerseyside/research-meetings/perspectives-on-risk. 14.00-14.45 Dr Jet Sanders (London School of Economics): What burst balloons can teach us about real-world risk taking The weekly cycle is normally seen as the backdrop against which human affairs unfold. Using balloon-based lab experiments, I show that risk tolerance changes over the weekly cycle. Re-analysis of large data sets confirms that real-world decision making also varies through the week in (almost) exactly the same way. This suggests that the weekly backdrop itself shapes our thinking in important ways, with serious implication across health, economic, and political domains. In this lecture, I will discuss what it is about the week that could be causing these effects, what this means for our understanding of risk tolerance and how we can use weekly fluctuations to allocate resources more efficiently, make better predictions and smarter decisions. 14.45-15.00 Tea and Coffee 15.00-15.30 Dr Edoardo Patelli (Risk Institute, University of Liverpool): DO WE HAVE ENOUGH DATA? Robust approaches for dealing with uncertainty In modern engineering systems, and in particular for critical infrastructures, uncertainty quantification must be performed to assure an adequate level of safety and reliability. Sources of uncertainty can be the inherent variability of physical quantities or events, missing or insufficient data, and lack of knowledge. The former type of uncertainty is known as aleatory uncertainty (Type I or irreducible uncertainty) and representative examples are future weather conditions, stock market prices or chaotic and inherently variable phenomena. Lack of knowledge is generally referred as epistemic uncertainty (Type II or reducible uncertainty) and is considered to be reducible since further data collection (although not always practical or feasible) can decrease the level of uncertainty. Especially for cases affected by a lack of data, where imprecise information or expert judgement is utilised, and there is a poor understanding of all the relevant underlying process, strong initial assumptions may be needed to use classical probabilistic methods. To meet this need artificial model assumptions are commonly accepted, although hardly justifiable, as they enable the probabilistic assessment to be performed. However, these assumptions can deeply influence the final results and lead to severe risk misjudgement by distorting the information regarding the true level of uncertainty affecting the system safety. Furthermore, this classical implementation does not differentiate between aleatory and epistemic uncertainty. This is a severe limitation as it makes the analyst unable to grasp how much of the uncertainty is due to inherent variability and to what extent the uncertainty is due to poor data quality (therefore suitable to be reduced in principle). Generalised probabilistic approaches have been introduced to better deal with scarce or limited information by adopting a more robust characterization and propagation of epistemic uncertainties (i.e. with less artificial assumptions for the characterisation of imprecise information). Some example of intensively applied concepts are: Dempster–Shafer theory of Evidence, interval probabilities, Fuzzy-based approaches, info-gap approaches, Bayesian Networks (BNs) and Bayesian approaches. The use of generalized method to quantify uncertainty generally changes the representation of the output of interest from point-valued probabilistic estimators to non-crisp, imprecise (e.g. interval-valued or fuzzy) probabilistic estimators, truthfully representing the available (but incomplete) input data. 15.30-16.00 Dr Helen Clough (University of Liverpool) Title to be confirmed All are welcome to attend the meeting, however we ask that people register in advance so that we can organise sufficient refreshments.  The registration form can be found at https://docs.google.com/forms/d/e/1FAIpQLSezoDa2Y1mWyf6xLGjyDX1P4qfWOF-PLoNYZ6rn4YvRmnRpjw/viewform?usp=sf_link . The meeting room can be found in building 215 in gridsquare F8 on campus map https://www.liverpool.ac.uk/files/docs/maps/liverpool-university-campus-map.pdf. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Lancashire and Cumbria: Global lake water quality, ecological systems and statistical challenges.

    No date given

    London, United Kingdom

    RSS Lancashire and Cumbria: Global lake water quality, ecological systems and statistical challenges. https://tess.elixir-europe.org/events/rss-lancashire-and-cumbria-global-lake-water-quality-ecological-systems-and-statistical-challenges Dr Claire Miller from the University of Glasgow will be talking about the statistical challenges in analysing global lake water quality. The talk will be followed by a wine reception. All are welcome to attend.    Dr. Claire Miller, (University of Glasgow) Global lake water quality, ecological systems and statistical challenges. The surface water quality for lakes and rivers is routinely monitored to protect ecosystem, animal and human health and for compliance reporting to policymakers. Current monitoring strategies enable measurements of water quality determinands to be obtained through satellite observations, automatic monitoring sensors and to be available in-situ at hundreds of spatial locations over time. There is a wealth of data available, which can provide novel information on the status of ecosystems with appropriate statistical analysis. However, the data present several challenges for statistical modelling including the data dimensionality, missing data, calibration and validation and complex ecosystem interactions and connectivity. This talk will explore some of these statistical challenges with applications including global lake water quality and freshwater connected ecosystems.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • German Joint Statistical Meeting - DAGStat2019

    No date given

    London, United Kingdom

    German Joint Statistical Meeting - DAGStat2019 https://tess.elixir-europe.org/events/german-joint-statistical-meeting-dagstat2019 According to the motto ‘Statistics under one umbrella’, contributions of all areas of statistics will form the conference program. The program will include plenary talks, invited talks, contributed talks and posters.  Confirmed plenary speakers are Sara van de Geer (ETH Zurich), Andrew Gelman (Columbia University), Michael Jordan (Berkeley University), Donald Rubin (Harvard University). Numerous invited speakers guarantee a stimulating and interesting program.  Scientific exchange between the participating societies is one main aim of the conference.  The homepage provides informations about the main topics. Tutorials will be offered about the topics "Adaptive designs for clinical trials" (Frank Bretz, Tim Friede), "Bayesian data analysis using Stan" (Andrew Gelman) and "Spatio-temporal modeling" (Thomas Kneib) Registration is now open. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Introduction to Bayesian Statistics

    No date given

    London, United Kingdom

    Introduction to Bayesian Statistics https://tess.elixir-europe.org/events/introduction-to-bayesian-statistics-7167ad1b-b4b4-44bf-8c25-fca566641ec8 Presented by Richard Morey Level - Intermediate CPD 12 hours Bayesian statistics has become a standard approach for many applied statisticians across a wide variety of fields due to its conceptual unity, clarity and practical benefits. However, because training in Bayesian methods is often not a standard part of research curricula, the benefits of Bayesian statistics have been slower to reach applied researchers. This two-day course aims to provide a working knowledge of Bayesian statistics for interested researchers.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Data integration and modelling in observational studies

    No date given

    London, United Kingdom

    Data integration and modelling in observational studies https://tess.elixir-europe.org/events/data-integration-and-modelling-in-observational-studies About the Event: This is the concluding workshop for the MRC Methodology funded grant “A general framework to adjust for missing confounders in observational studies”; it will cover different challenges researchers face in the context of observational studies and strategies to deal with these. The range of talks will focus on data integration and evidence synthesis, modelling of missing data and causal inference.     Speakers: Bianca De Stavola, UCL Carla Diaz-Ordaz, LSHTM Sara Geneletti, LSE Robert Goudie, MRC-BSU Cambridge Cosetta Minelli, Imperial College Monica Pirani, Imperial College Sylvia Richardson, MRC-BSU Cambridge  Lance Waller, Emory University   Please, click HERE to see the Full Programme    Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required:   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Learning from longitudinal studies in the UK and Low and Middle income countries

    No date given

    London, United Kingdom

    Learning from longitudinal studies in the UK and Low and Middle income countries https://tess.elixir-europe.org/events/learning-from-longitudinal-studies-in-the-uk-and-low-and-middle-income-countries Speakers:  Jo Boyden – Oxford University, Director of Young Lives Jim Todd – LSHTM, ALPHA network Alissa Goodman – UCL, Director of Centre for Longitudinal Studies [or Emla Fitzsimons on Millennium Cohort Study] Francisco Oteiza – CLOSER         About the Event: The UK has a long history of conducting longitudinal cohort studies which have given insights into social change and how health, wealth, education, family and employment combine to influence outcomes and achievements. A growing number of longitudinal cohorts are being conducted in low and middle income countries. These cohorts have the potential to give insights into the lives of individuals all around the world producing evidence which can be converted into global policy. The speakers will be sharing their experiences of the impact and potential of longitudinal cohort data in various settings, and discuss some of their efforts to maximise their reach. The lecture will be followed by a networking reception funded by the ESRC in the lower ground floor cafe. This event is co-hosted by the LSHTM centre for maternal, adolescent, reproductive and child health (MARCH). This event will be recorded and live-streamed - https://panopto.lshtm.ac.uk/Panopto/Pages/Viewer.aspx?id=22bec7a8-fa01-4f81-bc82-aa0d010edcb7 Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required.                                                                 Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Development in polls and election outcomes in Britain

    No date given

    London, United Kingdom

    Development in polls and election outcomes in Britain https://tess.elixir-europe.org/events/development-in-polls-and-election-outcomes-in-britain Speaker: Stephen Fisher – University of Oxford About the Event: Polls are usually the best guide to future election outcomes, but how good a guide have they been? This talk addresses that question, and considers how changes in polling methodology since the 1950s have influenced their performance.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Business statistics and the modern economy

    No date given

    London, United Kingdom

    Business statistics and the modern economy https://tess.elixir-europe.org/events/business-statistics-and-the-modern-economy As the UK’s national statistical institute, the Office for National Statistics' remit is to provide high quality statistics and analysis to help Britain make better decisions. As well as government policy makers such as HM Treasury and the Bank of England, businesses use ONS data. We operate impartially and free of political control to help ensure our statistics provide policy makers and businesses with the best and most up-to-date information. You are invited to join us and hear from a range of producers and suppliers of business statistics to hear how we have been developing our data sources outputs and analysis and to take the opportunity to tell us your priorities over the next few years. The event is free to attend and lunch will be provided. Places will be limited. Please register at https://www.eventbrite.co.uk/e/business-statistics-and-the-modern-economy-tickets-57330724741. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Intro to R

    No date given

    London, United Kingdom

    Intro to R https://tess.elixir-europe.org/events/intro-to-r Intro to R 29 March 2019 - Edinburgh This is a one-day intensive course on R and assumes no prior knowledge. By the end of the course, participants will be able to import, summarise and plot their data. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS North Eastern: Network time series models for energy and environmental applications

    No date given

    London, United Kingdom

    RSS North Eastern: Network time series models for energy and environmental applications https://tess.elixir-europe.org/events/rss-north-eastern-network-time-series-models-for-energy-and-environmental-applications About the Event:   Speaker: Matthew Nunes - University of Bath   Abstract: Environmental and energy time series often feature complex time-varying characteristics, such as temporal and cross-series dependence.  In this talk, I consider time series analysis problems in which the data are observed at nodes of a potentially large network structure. These data might evolve according to some  "network-spatial" dependence; some data will have an observed network, with others we can consider how to construct a network. I will introduce new models for such data, related to traditional, well-loved time series models and discuss a practical approach to analysis to take advantage of their flexibility. I will demonstrate the approach on wind energy series.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Synthetic data: Innovation for public good

    No date given

    London, United Kingdom

    Synthetic data: Innovation for public good https://tess.elixir-europe.org/events/synthetic-data-innovation-for-public-good About the event We would like to invite you to a joint event hosted by the RSS, ONS Data Science Campus and GSS Best Practice and Impact division on the 1st of April at the Office for National Statistics, Newport.  The event will focus on synthetic data, bringing together experts from public sector, industry and academia to investigate and understand the challenges of privacy and synthetic data, and how innovation in this space can be used for public good. The emphasis will be on sharing knowledge, ideas and innovative research, addressing problems and discussing potential solutions with the view of developing a community of experts and facilitating discussions and knowledge exchange. This event is following up on the challenges and opportunities identified by the National Statistician’s Quality Review on Privacy and Confidentiality published in December 2018, with synthetic data being identified as one of the key areas where further research and development is needed.  Important Information: For external visitors to the ONS, please bring photo ID with you. You will not be granted access to the building without photo ID. If arriving by car, please email catrin.cheung@ons.gov.uk with your car registration number by Friday 29th March to ensure your vehicle will have access to the site, and to reserve a parking space for you.   Please make an effort to arrive by 12pm and report to the main reception. All external visitors to the building will need to register individually at reception, before being escorted in groups to the meeting room.    There will be an opportunity for networking and light lunch from 12:30 pm and the main event will begin at 1 pm. The exact agenda will be updated shortly.  Contact: Gentiana D. Roarson (gentiana.roarson@ons.gov.uk) or Catrin Cheung (catrin.cheung@ons.gov.uk).  Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required.                  Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Identifying Trends and making Forecasts

    No date given

    London, United Kingdom

    Identifying Trends and making Forecasts https://tess.elixir-europe.org/events/identifying-trends-and-making-forecasts-0efbc58d-7611-4b48-b9b3-8d71961e55c3 Presented by Nigel Marriott Level - Foundation CPD 12 hours This two day course illustrates the basic practice for summarising and measuring trends as well as the best methods to extrapolate trends into a forecast. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Journal webinar: Confidence intervals for low dimensional parameters in high dimensional linear models

    No date given

    London, United Kingdom

    RSS Journal webinar: Confidence intervals for low dimensional parameters in high dimensional linear models https://tess.elixir-europe.org/events/rss-journal-webinar-confidence-intervals-for-low-dimensional-parameters-in-high-dimensional-linear-models The next RSS Journal webinar will be held on 2nd April at 4pm (UK time); 11am (EDT or UTC-4h) Paper: ‘Confidence intervals for low dimensional parameters in high dimensional linear models’ by Cun-Hui Zhang and Stephanie S Zhang. The paper was published in JRSS Series B (Vol 76:1) in January 2014. It is an open access paper available from the Wiley Online Library. Abstract The purpose of this paper is to propose methodologies for statistical inference of low dimensional parameters with high dimensional data. We focus on constructing confidence intervals for individual coefficients and linear combinations of several of them in a linear regression model, although our ideas are applicable in a much broader context. The theoretical results that are presented provide sufficient conditions for the asymptotic normality of the proposed estimators along with a consistent estimator for their finite dimensional covariance matrices. These sufficient conditions allow the number of variables to exceed the sample size and the presence of many small non?zero coefficients. Our methods and theory apply to interval estimation of a preconceived regression coefficient or contrast as well as simultaneous interval estimation of many regression coefficients. Moreover, the method proposed turns the regression data into an approximate Gaussian sequence of point estimators of individual regression coefficients, which can be used to select variables after proper thresholding. The simulation results that are presented demonstrate the accuracy of the coverage probability of the confidence intervals proposed as well as other desirable properties, strongly supporting the theoretical results. Presenter Cun-Hui Zhang will present and discuss his paper, which is co-authored by Stephani S Zhang. Chair Yi Yu, University of Bristol Discussants Andrea Montenari, Stanford University and Sara van de Geer, ETH Zurich An open discussion led by our discussants will follow the presentation by Cun-Hui Zhang in which everyone is encouraged to take part. You can ask the author a question over the phone or type a message if you prefer using the web based teleconference system (Skype). Questions can also be emailed in advance and further information requested from journalwebinar@rss.org.uk. Full event details including slides (when available) can be found on our website Journal webinars are free, open to everyone and simple to join. Those unable to listen in live will be able to listen to the podcast and view slides from the presentation afterwards on YouTube, accessible from the main RSS website. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • EiM 2:The second meeting on Ethics in Mathematics.

    No date given

    London, United Kingdom

    EiM 2:The second meeting on Ethics in Mathematics. https://tess.elixir-europe.org/events/eim-2-the-second-meeting-on-ethics-in-mathematics About the Event: An interdisciplinary meeting bringing together the small number of people with an interest, or concern in the topic. Most statisticians receive undergraduate teaching with mathematicians, so this is a professional issue. Developing mathematical tools, ethical responsibilities lie with all actors, not just the application and data context. Professional bodies and employers are starting to show an interest, but society generally lacks the expertise to supervise. An opportunity for extended discussion with speakers over three days. Contact the organiser for an invitation.   Confirmed Speakers (More to come!) : Catherine Buell (Mathematician) - U. Fitchberg  Rishi Vyas (Mathematician) - Krea University Tony Gardiner (Mathematician) - U. Birmingham / LMS Clement Mouhot (Mathematician) - U. Cambridge Collin Rittberg (Mathematician/ Philosopher) - U. Vrije Ann-Kristin Glenster (Legal Scholar Specialising in Technology) Ross Anderson (Computer Scientist) - U. Cambridge Unconfirmed Victor Piercey (Mathematician/ Lawyer) - Ferris State U. Martin Hyland (Mathematician) - U. Cambridge Unconfirmed David Spiegelhalter (Mathematician) - U. Cambridge Tam B (Software Developer) - Thoughtworks Maurice Chiodo (Mathematician) - U. Cambridge Glenys Wilson (Psychologist)   We have a number of invited speakers from within mathematics and in other disciplines who will talk about diverse topics. This is a vital interdisciplinary aspect of the workshop; it takes several people from several areas to make this effective. The workshop will be discussion-based, with "themed" pairs of speakers giving a 30 minute talk each, followed by a long (1 hour) question and discussion session chaired by the two speakers.     Request an invitation at mcc56@cam.ac.uk More information available at the following link: https://www.ethics.maths.cam.ac.uk/EiM2/   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Nigeria: Handling and Analyzing Spatio-Temporal Data using ArcGIS and R softwares

    No date given

    London, United Kingdom

    RSS Nigeria: Handling and Analyzing Spatio-Temporal Data using ArcGIS and R softwares https://tess.elixir-europe.org/events/rss-nigeria-handling-and-analyzing-spatio-temporal-data-using-arcgis-and-r-softwares About the event: Spatiotemporal data analysis is an emerging research area due to the development and application of novel computational techniques allowing for the analysis of large spatiotemporal databases. Spatiotemporal models arise when data are collected across time as well as space and has at least one spatial and one temporal property. An event in a spatiotemporal dataset describes a spatial and temporal phenomenon that exists at a certain time t and location x The meeting will showcase the analysis of large spatiotemporal databases using ArcGIS and R softwares.   We welcome confirmed speakers Dr Tolulope Osayomi from Department of Geography, Faculty of Social Sciences, University of Ibadan, Nigeria and Dr G. A. Dawodu from Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.   This meeting is funded by Royal Statistical Society, London, England in collaboration with the Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.   Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Symposium on Teaching Statistics in Higher Education

    No date given

    London, United Kingdom

    Symposium on Teaching Statistics in Higher Education https://tess.elixir-europe.org/events/symposium-on-teaching-statistics-in-higher-education About the event: Launch event for the RSS Teaching Statistics SIG, the conference will discuss the teaching of statistics in higher education to statisticians and non-statisticians. Speakers: Dr Margaret MacDougall (University of Edinburgh) Dr Charis Chanialidis (University of Glasgow) - Online distance learning in Data Analytics: Benefits, challenges, and suggestions Dr Elke Thönnes (Warwick University) - Authentic learning and assessment in applied statistics Dr Paul Northrop  (University College London) - Connecting Students with Statistical Research Abstracts available here    There will be opportunities for discussion in panel sessions and over refreshments.     Attendance is free and open to all, but pre-registration is required.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS South West: Network Time Series

    No date given

    London, United Kingdom

    RSS South West: Network Time Series https://tess.elixir-europe.org/events/rss-south-west-network-time-series Speaker: Guy Nason (University of Bristol; Royal Statistical Society Vice President for Academic Affairs) Abstract: A network time series is a multivariate time series where the individual series are known to be linked by some underlying network structure. Sometimes this network is known a priori, and sometimes the network has to be inferred, often from the multivariate series itself. Network time series are becoming increasingly common, long, and collected over a large number of variables. We are particularly interested in network time series whose network structure changes over time. We describe some recent developments in the modeling and analysis of network time series via network autoregressive integrated moving average (NARIMA) process models. NARIMA models provide a network extension to a familiar environment that can be used to extract valuable information and aid prediction. As with classical ARIMA models, trend can impair the estimation of NARIMA parameters. The scope for trend removal is somewhat wider with NARIMA models and we exhibit some possibilities. We will illustrate the operation of NARIMA modeling on some real data sets. This is joint work with Kathryn Leeming (Bristol), Marina Knight (York) and Matt Nunes (Lancaster). Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Meet the statisticians: data support for the third sector

    No date given

    London, United Kingdom

    Meet the statisticians: data support for the third sector https://tess.elixir-europe.org/events/meet-the-statisticians-data-support-for-the-third-sector Do you have a project that would benefit from the skills of a statistician or data scientist? Want to speak to us about this project and be linked with a volunteer statistician who is willing to work pro bono? Then come along to our drop-in session for Statisticians for Society. The Royal Statistical Society (RSS) is inviting third sector organisations interested in pro bono support to spend time with our scoping panel and identify ways that volunteer statisticians can be involved in your project. If you are looking to make the most of your data, measure your impact or use data in decision making, then these ‘drop in’ sessions are a great opportunity for you to discuss what is possible and the expertise required to carry out the work. The Royal Statistical Society is the professional body for statisticians, data analysts and data scientists. Through Statisticians for Society, RSS fellows are offering their time and skills at no cost to help organisations collect, analyse and present data. Who should attend? Any UK registered charity or social purpose organisation with an annual turnover of/less than £1 million. If your charity or social purpose organisation does not meet our selection criteria, but wishes to attend, please contact Amaka Nwagbara and we can discuss if this initiative could directly help you. Timings You will be able to book to attend one of these four hour-long sessions: • 10.00am - 11.00am • 11.00am -  12.00pm • 1.00pm   -  2.00pm • 2.00pm   -  3.00pm Please note that registration is required and places are limited. To book your place, click the ‘Register Now’   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Nigeria: Understanding the world through data

    No date given

    London, United Kingdom

    RSS Nigeria: Understanding the world through data https://tess.elixir-europe.org/events/rss-nigeria-understanding-the-world-through-data Data users need help in making sense of the overwhelming volume of data and information they are presented with every day. This can be accomplished by increasing collaboration across sectors and enhancing users’ skills. In addition, policymakers and the public in general must improve their data literacy The event will showcase the role of Statistics in achieving sustainable development goals.  We welcome confirmed speakers Professor T. O. Obilade from Department of Mathematics, Faculty of Science, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria and Professor K. S. Adekeye from Redeemer’s University, Ede, Osun State, Nigeria. The event is funded by Royal Statistical Society, London, England, United Kingdom in collaboration with Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria, Oyo State Bureau of Statistics and Nigerian Institute of Science Laboratory Technology. All are welcome to attend the event, however, we ask that people register in advance for proper arrangement.   Many thanks Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • ESGI 145

    No date given

    London, United Kingdom

    ESGI 145 https://tess.elixir-europe.org/events/esgi-145 Across a five day workshop, the 145th European Study Group with Industry brings mathematicians and industrialists together to work side by side to solve the real and important issues that companies are facing today The ESGI is an exciting opportunity for students in academics to get hands on experience with a real problem in industry in a collaborative setting. Data analysis problems have gained more prominence at these conferences in recent years and we need more statisticians involved! Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • The use of simulation to support modern day needs of manufacturing companies - Making better decisions based on simulation

    No date given

    London, United Kingdom

    The use of simulation to support modern day needs of manufacturing companies - Making better decisions based on simulation https://tess.elixir-europe.org/events/the-use-of-simulation-to-support-modern-day-needs-of-manufacturing-companies-making-better-decisions-based-on-simulation This event will commence with an introductory talk on simulation and its application, followed by sharing of case studies and a practical workshop session. The aim of this workshop is to develop awareness and basic competence in the use of simulation to support modern day needs of manufacturing companies. Based on a real cases, this workshop will guide you on how to make better decisions based on discrete event simulation. Agenda                                                                • Basic concepts of simulation                            • Successful examples in manufacturing         • How to run a model?                           • How to build a simple model?  • Formulating a simulation problem • Final discussion and questions Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
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