The webinar will focus on Bradley Efron's paper, 'Frequentist accuracy of Bayesian estimates'. Bradley will introduce the paper, after which Peter Diggle will chair a Q&A session with discussant Andrew Gelman, fielding questions from those dialling in to the webinar.
Bradley Efron (left) is Max H Stein professor of humanities and sciences, professor of statistics at Stanford University, and professor of biostatistics with the Department of Health Research and Policy in the School of Medicine. Among his many honours is the RSS Guy Medal in Gold, awarded by the RSS in 2014. He is best known for his introduction of the bootstrap method of statistical inference and his work is characterised by 'its depth, simplicity of presentation, geometric insights and by a desire to understand statistical procedures from both frequentist and Bayesian perspectives'.
Andrew Gelman (middle) is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University and writes a much-read blog, Statistical modeling, causal inference and social science.
Peter Diggle (right) is current president of the Royal Statistical Society and Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University and Professor in the Department of Epidemiology and Population Health, University of Liverpool.
The webinar promises to be fascinating and will provide a unique opportunity to take part in a discussion with three very distinguished statisticians. Further details on the paper are available on the StatsLife event page; information on how to dial in is available on our main website.
The event is sponsored by Quintiles.