Querying - Donald Bren School of Information and Computer ...
Foundations of Statistics Seminar Series · 2017-09-14 · Foundations of Statistics Seminar Series...
1
Foundations of Statistics Seminar Series March 12, 2010 3pm Rm 6011 Donald Bren Hall April 1, 2010 2pm Rm 6011 Donald Bren Hall 4pm April 2, 2010 1pm Rm 6011 Donald Bren Hall 3pm April 19, 2010 4pm Rm 2011 Donald Bren Hall November 15, 2010 4pm Rm 2011 Donald Bren Hall November 22, 2010 4pm Rm 2011 Donald Bren Hall 3pm Jim Berger Arts and Sciences Professor of Statistics Duke University “Objective Bayesian Analysis” Jay Kadane Leonard J. Savage University Professor of Statistics, Emeritus Carnegie Mellon University “Why Should a Statistician be Concerned about Foundations?” “Foundations of Bayesian Statistics” Teddy Seidenfeld H.A. Simon and University Professor of Philosophy and Statistics Carnegie Mellon University “Can a Group of Bayesians be Bayesian?” “What Alternatives to Canonical Bayesian Statistics Respect the Avoidance of Sure Loss While Providing a Model for Group Inference and Cooperative Decision Making?” Mike Evans Professor of Statistics University of Toronto “Invariant Methods for Bayesian Analysis” Brad Efron Max H. Stein Professor of Humanities and Sciences and Professor of Statistics Stanford University “The Future of Indirect Evidence” Wesley Johnson Professor of Statistics University of California, Irvine “On the Value of Incorporating Scientific Input in Modeling and Data Analysis, and How To Do It Without Pain” Pierre Baldi Chancellor’s Professor of Computer Science University of California, Irvine “Some Final Thoughts on Foundations” For more information contact [email protected] or call (949)824-5392 Department of Statistics • Institute for Genomi cs and Bioinformatics The Center for Machine Learning and Intelligent Systems University of California, Irvine
Transcript of Foundations of Statistics Seminar Series · 2017-09-14 · Foundations of Statistics Seminar Series...
Foundations of Statistics Seminar Series
March 12, 2010 3pm Rm 6011 Donald Bren Hall
April 1, 2010 2pmRm 6011 Donald Bren Hall
4pm
April 2, 2010 1pmRm 6011 Donald Bren Hall
3pm
April 19, 2010 4pmRm 2011 Donald Bren Hall
November 15, 2010 4pmRm 2011 Donald Bren Hall
November 22, 2010 4pmRm 2011 Donald Bren Hall
3pm
Jim BergerArts and Sciences Professor of StatisticsDuke University“Objective Bayesian Analysis”
Jay KadaneLeonard J. Savage University Professor of Statistics, EmeritusCarnegie Mellon University“Why Should a Statistician be Concerned about Foundations?”
“Foundations of Bayesian Statistics”
Teddy SeidenfeldH.A. Simon and University Professor of Philosophy and StatisticsCarnegie Mellon University“Can a Group of Bayesians be Bayesian?”
“What Alternatives to Canonical Bayesian Statistics Respect the Avoidance of Sure Loss While Providing a Model for Group Inference and Cooperative Decision Making?”
Mike EvansProfessor of StatisticsUniversity of Toronto“Invariant Methods for Bayesian Analysis”
Brad EfronMax H. Stein Professor of Humanities and Sciences and Professor of StatisticsStanford University“The Future of Indirect Evidence”
Wesley JohnsonProfessor of StatisticsUniversity of California, Irvine“On the Value of Incorporating Scientific Input in Modeling and Data Analysis, and How To Do It Without Pain”
Pierre BaldiChancellor’s Professor of Computer ScienceUniversity of California, Irvine“Some Final Thoughts on Foundations”
For more information contact [email protected] or call (949)824-5392
Department of Statistics • Institute for Genomics and BioinformaticsThe Center for Machine Learning and Intelligent Systems
University of California, Irvine
