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" Automatic Discovery of Latent Clusters in General Regression Models "
Minhazul Islam S. K.
Banerjee, Arunava
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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805107
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| Doc. No
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TL49956
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| Call number
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2068012148; 10902849
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| Main Entry
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Bas, Ozen
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| Title & Author
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Automatic Discovery of Latent Clusters in General Regression Models\ Minhazul Islam S. K.Banerjee, Arunava
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| College
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University of Florida
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| Date
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2017
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| Degree
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Ph.D.
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2017
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| Page No
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108
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| Note
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Place of publication: United States, Ann Arbor; ISBN=978-0-438-12217-8
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| Abstract
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We present a flexible nonparametric Bayesian framework for automatic detection of local clusters in general regression models. The models are built using techniques that are now considered standard in statistical parameter estimation literature, namely Dirichlet Process (DP), Hierarchical Dirichlet Process (HDP), Generalized Linear Model (GLM) and Hierarchical Generalized Linear Model (HGLM). These Bayesian nonparametric techniques have been widely applied to solve clustering problems in the real world.
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| Subject
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Computer science
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| Descriptor
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Applied sciences;Latent clusters;Regression models
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| Added Entry
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Banerjee, Arunava
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University of Florida
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