Bayesian classification and survival analysis with curve predictors

Bayesian classification and survival analysis with curve predictors

We propose classification models for binary and multicategory data where the predictor is a random function. The functional predictor could be irregularly and sparsely sampled or characterized by high dimension and sharp localized changes. In the former case, we employ Bayesian modeling utilizing fl...

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Bibliographic Details
Main Author: Wang, Xiaohui
Other Authors: Mallick, Bani K.
Format: Others
Language:en_US
Published: 2010
Subjects:
smoothing spline
wavelets
hierarchical modeling
generalized linear model
proportional hazards model
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-1205
http://hdl.handle.net/1969.1/ETD-TAMU-1205

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-1205
http://hdl.handle.net/1969.1/ETD-TAMU-1205

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