[Forum SIS] RSS Webinar with Bradley Efron, Andrew Gelman and Peter Diggle: 21st October, 4pm (UK time)

[Silvia Liverani]

Dear all,

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 journalwebinar a rss.org.uk.

More details about this journal webinar can be found in StatsLife and on 
the RSS website.

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.

Best wishes
Silvia

-- 
Silvia Liverani
Lecturer in Statistics
Brunel University London
www.silvialiverani.com