JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

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CE_26C Tue, 7/31/07, 8:30 AM - 5:00 PM CC-150 D-F
Wavelets and Statistical Applications - Continuing Education - Course
Section on Bayesian Statistical Science, ASA
Instructor(s): Marina Vanucci, Texas A&M University, Brani Vidakovic, Georgia Institute of Technology
Statistical wavelet modeling and computational research has, in this recent decade, become a burgeoning area in both theoretical and applied statistics, and is, in many cases, guiding the development of statistical methodologies in various interdisciplinary fields. Wavelet ideas are developing in statistics in areas such as regression, density and function estimation, linear models, spatial statistics, functional data analysis, time series, and others, with a number of applications in science and engineering. Wavelets ``love'' massive data sets and are especially efficient in data reduction, assessment of scaling, signal separation and data whitening. They are an indispensable tool in a data-miner's toolbox. This course will focus on the use of wavelet methods in statistics. The course will start with a brief introduction to the wavelet theory, followed by an overview of wavelet-based statistical methods and applications. Topics will include smoothing of noisy signals, nonparametric estimation of functional data and representation of stochastic processes. Emphasis will be given to Bayesian inferential procedures. Matlab software will be used. The course is aimed at statisticians and scientific investigators who are interested in the practical use of wavelets for the analysis of data. No knowledge on wavelets is required. Complex mathematical details will be only partially covered. Recommended Textbook: Vidakovic, B (1999) Statistical Modeling of Wavelets. Wiley. ISBN: 978-0-471-29365-1
 

JSM 2007 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.
Revised September, 2007