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Thursday 8 October 2015

ROYAL STATISTICAL SOCIETY WEBINAR ON 'FREQUENCY ACCURACY OF BAYESIAN ESTIMATES'


                          FREQUENCY ACCURACY OF BAYESIAN ESTIMATES  (p.d,f.)  

                           Youtube video of Webinar   (21st, October 2015)


Previous Annoucement:                                  

The Royal Statistical Society is delighted to announce that Bradley
Efron will present his recently published paper at our next Journal
webinar on  21st October 2015 at 4 pm (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@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






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