JSM Activity #2002-06C

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Activity ID:  2002-06C
Title
Using WinBUGS for Bayesian Analysis of Industrial and Physical Sciences Data
Date / Time / Room Sponsor Type
08/10/2002
8:15 AM - 4:15 PM
Room: H-Nassau Suite B 		ASA, Section on Quality & Productivity* Other
Organizer: n/a
Chair: n/a
CE Presenter - National Institute of Standards & Technology
- National Institute of Standards & Technology
Richard B. Evans - Iowa State University
Richard B. Evans - Iowa State University
Description

Bayesian inference has a growing role in the analysis of industrial and physical science data. The WinBUGS software makes the Bayesian analysis of many applied problems accessible to practitioners. The course is designed to provide practitioners with tools (Bayesian modeling, WinBUGS, Monte Carlo, etc.) necessary to use Bayesian inference for applied problems. Participants in the course will learn the basics of Bayesian modeling and inferences using Markov chains generated with the WinBUGS software. The philosophy of the course is to provide some underlying theory, but primarily focus on solving "real world" Bayesian data analysis problems using a series of real examples (from collaborations with scientists and engineers). No knowledge of Bayesian inference is required, but the participant should have practical data analysis experience. This course is based on a short course given at the National Institute of Standards and Technology.
JSM 2002

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Revised March 2002