This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 367
Type: Roundtables
Date/Time: Tuesday, August 3, 2010 : 12:30 PM to 1:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #307001
Title: Decisionmaking in Public Policy: Problems from DOT, FDA, and NASA
Author(s): David Banks*+
Companies: Duke University
Address: Dept. of Stat. Science, Box 90251, Durham, NC, 27708, United States
Keywords: public policy ; Bayesian inference ; FDA ; DOT ; NASA ; federal agencies

Good statistics is a necessary input to sound public policy. Sometimes, the perceived complexity of the method is used as a reason to undervalue the results of the analysis. Although there is no way to avoid honest complications, Bayesian methods lend themselves to greater transparency about assumptions and simpler statements of conclusions. This roundtable will discuss how Bayesian methods have been embraced, ignored, or gingerly poked at by a number of different federal agencies, in the context of many specific policy applications.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

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