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Education and Training: Using WinBUGS for Bayesian Analysis of Physical Science and Engineering Data |
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| Time and Location |
Using WinBUGS for Bayesian Analysis of Physical Sciences
and Engineering Data
Will Guthrie and Blaza Toman NIST Statistical Engineering Division Friday September 17, 2004 9:00am - 5:00pm Adminstration Building, Lecture Room E NIST Gaithersburg, MD |
| Abstract | This one-day course is designed to provide physical scientists and engineers with the tools necessary to use Bayesian inference in a wide range of applied problems. Participants in the course will learn the basics of Bayesian modeling and inference using the WinBUGS package for Markov Chain Monte Carlo simulation. The course is designed to provide some underlying theory, but its primary focus is on solving real-world data analysis problems using examples from NIST. Frequentist and Bayesian solutions for these examples will be compared. Although they are not a prerequisites, this course builds on material presented in "Introduction to Markov Chain Monte Carlo for Scientists and Engineers" taught by Stefan Leigh, Andrew Rukhin, and Van Molino, and "Introduction to Bayesian Analysis for Scientists and Engineers" taught by Blaza Toman. |
| Comments on Course |
CLASS SIZE IS LIMITED TO 36.
There is a $125 registration fee for this class. A set of notes will be provided for the class. |
| Further Information |
For further information, contact
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Date created: 10/16/2002 |
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