Professors Christophe Andrieu, Anthony Lee and Drs. Sam Power and Andi Q. Wang have had a recent paper accepted into the Annals of Statistics. Their paper, titled ‘Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC’, studies subgeometric convergence rates of Markov chains. These results are particularly applicable to a class […]
Archive | 2022
Song Liu and Mingxuan Yi Publishing Machine Learning Papers
Dr. Song Liu and Mingxuan Yi are publishing papers at top international machine learning conferences. The first paper is entitled “Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC” and the second is “Sliced Wasserstein Variational Inference”. Huge congratulations to Song on this achievement. Details of both papers are below: Title: […]
Congratulations to Compass student published in NeurIPS 2022
Congratulations to Dan Ward, Matteo Fasiolo, Mark Beaumont and their industrial collaborators from Improbable. Compass PhD student, Dan Ward, who along with his supervisors has had their paper Robust Neural Posterior Estimation and Statistical Model Criticism accepted for publication in NeurIPS 2022. Simulators are idealistic approximations of reality, meaning that there is often a disparity […]
Promotions in the Statistics Institute
The Institute for Statistical Science is very pleased that the outstanding work of three of its staff has been recognised by this year’s University of Bristol promotions process. Professor Patrick Rubin-Delanchy has been promoted to the role of Professor of Mathematics, having joined the University of Bristol as lecturer in July 2017, from the University […]
Bristol ranked 35th in the world for Statistics
The latest 2021 Global Ranking of Academic Subjects (Shanghai Ranking) places Statistics at the University of Bristol as 35th in the world and 5th in the UK. This confirms the high esteem in which Bristol’s research is held, and recognises the many important contributions made by its researchers in recent years, including many international collaborations […]
Paper is published in “Journal of the Royal Statistical Society: Series B”
Dr Patrick Rubin-Delancy has had a paper, ‘A statistical interpretation of spectral embedding: The generalised random dot product graph’, published in the Journal of the Royal Statistical Society: Series B. The paper provides mathematical guarantees about spectral embedding, a popular tool for exploring and analysing real-world networks. In particular, it makes sense of the case […]
Dr. Andi Wang to deliver talk at IMS Annual Meeting in Probability and Statistics
Dr. Andi Wang will be speaking at the IMS Annual Meeting in Probability and Statistics, to be held in London, 27-30 June (https://www.imsannualmeeting-london2022.com/special-sessions). This is a large international meeting, spanning a range of topics from theoretical probability to modern statistical methodology and statistical theory. Andi will be giving a talk in the special New Researchers […]
Dr Dennis Prangle to give series of lectures at the Hausdorff School for Mathematics
Dr Dennis Prangle will give a series of three invited lectures in August 2022 at the Hausdorff School for Mathematics within the University of Bonn. This is part of a summer school on “Inverse Problems for Multi-Scale Models“, particularly focusing on mathematical biology. Dr Prangle’s lectures will be on approximate inference methods, covering likelihood-free inference […]
New paper accepted by Journal of Machine Learning Research
A paper on Truncated Density Estimation, authored by statistics institute members, has been recently accepted by the Journal of Machine Learning Research (JMLR) The paper proposes a new approach for estimating density functions for a generic truncated domain. Conventionally, estimating a truncated density requires evaluating a normalizing term, making the estimation intractable, however, in this paper, the […]
Professor Johnson to join RSS COVID panel
On Tuesday 5 April, Professor Oliver Johnson, Director of the Institute for Statistical Science, will be a member of a panel at the Royal Statistical Society. This is the first of four RSS sessions, aiming to highlight important statistical and data issues that the upcoming coronavirus public inquiries should look into, representing the breadth of […]
