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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_40T | Wed, 8/9/06, 4:00 PM - 5:45 PM | CC-305 |
| Introduction to MARS: Predictive Modeling with Nonlinear Automated Regression Tools - Continuing Education - CTW | ||
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The ASA |
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| Instructor(s): Mikhail Golovnya, Salford Systems | ||
| This course introduces the main concepts behind Jerome Friedman's MARS, a modern regression tool that can help analysts quickly develop superior predictive models. MARS is a nonlinear automated regression tool that can trace out complex patterns in the data. It automates the model specification search, including variable selection, variable transformation, interaction detection, missing value handling, and model validation. Attendees will be presented with the key benefits of MARS over conventional regression tools. They will see examples of how this data mining tool is used for real-world data analysis. The course is intended to be accessible to anyone with experience with regression modeling. | ||
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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. |