Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
|
|
Tweet | ||
| 503 | Wed, 8/6/2014, 10:30 AM - 12:20 PM | CC-156B | |
| Bayesian Inference: Theory and Foundations — Contributed Papers | |||
| Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) | |||
| Chair(s): Dongchu Sun, University of Missouri-Columbia | |||
| 10:35 AM | Asymptotic Properties of Bayesian Type Estimators When It Is Not Assumed the Hessian Matrices of Contrast Functions Converge — Yoichi Miyata, Takasaki City University of Economics | ||
| 10:50 AM | Robust Bayes Analysis with Hierarchical Classes of Priors — Xiaomu Wang, Ohio State University ; Mark Berliner, Ohio State University | ||
| 11:05 AM | Prior and Prejudice: An Algorithm for Weakening Prior Influence — Keli Liu ; Xiao-Li Meng, Harvard ; Natesh S. Pillai, Harvard | ||
| 11:20 AM | Exploring Minimaxity and Admissibility of the Usual Estimates and Usual Confidence Sets for the Means of Selected Populations — Alexandra Bolotskikh, Cornell University ; Martin Wells, Cornell University | ||
| 11:35 AM | A Decision Theoretic Approach to Multiple Testing of Grouped Hypotheses — Yanping Liu, Temple University ; Sanat K. Sarkar, Temple University ; Zhigen Zhao, Temple University | ||
| 11:50 AM | On Probability Matching Fiducial Distributions — Abhishek Pal Majumder, University of North Carolina at Chapel Hill ; Jan Hannig, University of North Carolina at Chapel Hill | ||
| 12:05 PM | Reference Prior Development for Exponential Random Graph Model — Sayan Chakraborty, Michigan State University ; Tapabrata Maiti, Michigan State University | ||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.