This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
|CE_05C||Sat, 7/31/2010, 8:30 AM - 5:00 PM||CC-12 (East)|
|Wavelets in the Real World — Continuing Education Course|
|Instructor(s): Todd Ogden, Columbia University|
Statistical modeling with wavelets has become a burgeoning area in both theoretical and applied statistics and new methodologies are continually being developed in many application areas. Wavelets play an important role in many areas
of statistical modeling including regression, density estimation, spatial statistics,
functional data analysis, and time series analysis. Wavelets are particularly useful for the analysis of massive data sets and are particularly efficient for data reduction, signal separation, and data whitening, and thus they have become an
essential tool for data miners.
The proposed one day course is designed to give participants enough background information to allow them to begin using wavelets as a tool in practical data analysis situations. It will illustrate concepts with heuristic explanations and examples rather than complicated mathematical arguments. Applications of various methods to both real and simulated datasets will be used throughout the course. Participants should be comfortable with calculus, linear algebra, and mathematical statistics at the level of a first year graduate student in statistics.