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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_10C | Sun, 8/6/06, 8:30 AM - 5:00 PM | CC-306 |
| Computational Statistics: Methods for Monte Carlo Integration and Optimization - Continuing Education - Course | ||
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The ASA, Section on Statistical Computing |
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| Instructor(s): Jennifer A. Hoeting, Colorado State University, Geof H. Givens, Colorado State University | ||
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This course will consist of a morning session on Monte Carlo integration strategies and an afternoon session on optimization methods. We will survey a variety of techniques, ranging from classic to state-of-the-art. The course will be based on Computational Statistics. We will seek to give students a practical understanding of how and why existing methods work, enabling students to use modern statistical methods effectively. We will focus on methodological concepts, not details of computer programming. Examples will be drawn from diverse fields, including bioinformatics, ecology, and medicine. The course is targeted for quantitative scientists and statisticians who are unfamiliar with these methods. Upper-division undergraduate mathematical literacy is recommended.
RECOMMENDED TEXTBOOK: Givens, G.H. and Hoeting, J.A. (2005): Computational Statistics. John Wiley and Sons. ISBN: 0-471-46124-5. Course attendees are expected to be familiar with the topic at the level of: |
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JSM 2006
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |