JSM Activity #330

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Activity ID:  330
Title Room
* ! Bayesian Decision Problems - Optimal Design H-Grand Ballroom D
Date / Time Sponsor Type
08/09/2001    10:30 AM  -  12:20 PM Section on Bayesian Stat. Sciences*, ENAR Invited
Organizer: Peter Mueller, Duke University
Chair: Jonathan Stroud, University of Chicago
Discussant:  
Floor Discussion 12:05 PM
Description

The theme of this session are applied and computational aspects of Bayesian optimal design. The first two talks consider the use of a formal Bayesian decision theoretic approach in important applied problems in biostatistics and finance. The third talk discusses computational strategies based on inhomogeneous Markov chain simulation.
  300055  By:  Giovanni Parmigiani 10:35 AM 08/09/2001
Design of Observation Times with Applications to Cancer Screening and Survival Analysis

  300056  By:  Nicholas Polson 11:05 AM 08/09/2001
Dynamic Portfolio Design with Stochastic Expected Returns and Volatility

  300054  By:  Peter Mueller 11:35 AM 08/09/2001
Simulated Annealing Based Optimal Design

JSM 2001

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Revised March 2001