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

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Activity Number: 524
Type: Invited
Date/Time: Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
Sponsor: Business and Economics Statistics Section
Abstract - #308022
Title: Time-Dependent Spectral Analysis with Applications to Epileptic EEG Data
Author(s): Wensheng Guo*+
Companies: University of Pennsylvania
Address: 423 Guardian Drive, Philadelphia, PA, 19104-6021,
Keywords: Locally Stationary Process ; Smoothing Splines ; Time-frequency Analysis ; Multivariate time series ; Functional data analysis ; Principal component analysis
Abstract:

Guo et al (2003, JASA) proposed a locally stationary time series model whose time-varying transfer function is smooth in both time and frequency domain. This essentially turns the time-varying spectral estimation into a two-dimensional surface estimation problem and allows joint smoothing of the time and frequency domains. Using the smooth time-varying spectrum as the building block, the method can be extended to the multivariate setting, and to the functional data analysis setting with a family of locally stationary time series indexed by a set of covariates. In this talk, we will present the methods and their applications to epileptic EEG data.

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Revised September, 2007