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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Format: | Others |
Language: | en_US |
Published: |
2010
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Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-1205 http://hdl.handle.net/1969.1/ETD-TAMU-1205 |