Advanced Nonparametric Bayesian Functional Modeling

Advanced Nonparametric Bayesian Functional Modeling

Functional analyses have gained more interest as we have easier access to massive data sets. However, such data sets often contain large heterogeneities, noise, and dimensionalities. When generalizing the analyses from vectors to functions, classical methods might not work directly. This dissertatio...

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Bibliographic Details
Main Author: Gao, Wenyu
Other Authors: Statistics
Format: Others
Published: Virginia Tech 2020
Subjects:
Breast Cancer Racial Disparities
Dirichlet Process Mixture (DPM)
Functional Clustering
Functional Selection
Genetic Type II Diabetes
Matched Case-Crossover Study
Nonparametric Bayesian Modeling
Weighted Dirichlet Process Mixture (WDPM)
Online Access:http://hdl.handle.net/10919/99913

Internet

http://hdl.handle.net/10919/99913

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