A few weeks ago I wrote a posting about an article by Bradley Efron on the frequentist accuracy of Bayesian estimates and last week a message circulated on Allstat to say that the RSS is to offer a webinar (horrid word) on 21st October in which Bradley Efron will present this same paper. Since it might be of interest to anyone who has read that posting I have reproduced the details below.
Dear Allstat Member
The Royal Statistical Society is delighted to announce that Bradley Efron will present his recently published paper at our next Journal webinar on Wednesday 21st October at 4pm (UK time). We are also very pleased to welcome Andrew Gelman, as discussant for this event, and Peter Diggle, as chair, to what we are sure will be an interesting and informative event.
Journal webinars are sponsored by Quintiles and are free and open to everyone.
From our prestigious Series B journal, we have selected this important, thought-provoking paper:
Paper: ”Frequentist accuracy of Bayesian estimates’
Author and presenter: Bradley Efron, Max H Stein Professor of Humanities and Sciences, Professor of Statistics at Stanford University
Discussant: Andrew Gelman, Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
Chair: Peter Diggle, President of the Royal Statistical Society and Distinguished University Professor, CHICAS, Lancaster University Medical School
The paper was published in June in the Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol 77 (3), 617-646.
It will be free to access from early until late October.
Webinars are simple and free to join. Just dial in and join us on 21st October to listen to the author’s presentation and the ensuing discussion.
You can ask the author a question over the phone or simply issue a message using the web based teleconference system.
Questions can also be emailed in advance and further information can be requested from firstname.lastname@example.org.
Those unable to listen in live can listen to the podcast and view slides from the presentation afterwards on the main RSS website.
The recording will also be posted on Youtube.