TL42: Bayesian nonparametrics: Potentially useful or a playground for mathematicians?
*Steven Frank Thomson, Food and Drug Administration
Bayesian nonparametrics is not an oxymoron, but refers to using a probability distribution on probability distributions, not just the parameters of a distribution, as a prior. These models promise a reasonable approach to robustness, and have other strengths. But they do have mathematical difficulties and it may be difficult to incorporate prior information in a reasonable manner. No definitive answers will be proposed. The organizer knows of none. However, it is hoped that there will be a healthy discussion of the possibilities of such models in drug development and regulatory research.
April 30 - May 22, 2013
Invited Abstract Submission Open
June 4, 2013
Online Registration Opens
August 9 - August 23, 2013
Invited Abstract Editing
August 23, 2013
Short Course materials due from Instructors
August 26, 2013
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC