Bayesian Nonparametric Mixture Models: Methods and Applications

Author:   Abel Rodriguez (University of California, Santa Cruz, USA) ,  Athanasios Kottas (University of California, Santa Cruz, USA)
Publisher:   Taylor & Francis Inc
ISBN:  

9781466513600


Pages:   350
Publication Date:   01 January 2021
Format:   Hardback
Availability:   Not yet available   Availability explained
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Bayesian Nonparametric Mixture Models: Methods and Applications


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Author:   Abel Rodriguez (University of California, Santa Cruz, USA) ,  Athanasios Kottas (University of California, Santa Cruz, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
ISBN:  

9781466513600


ISBN 10:   1466513608
Pages:   350
Publication Date:   01 January 2021
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Introduction. Dirichlet Process Mixture Models: Theory and Methods. Dirichlet Process Mixture Models: Posterior Inference. Nonparametric Mixture Methodology for Random Effects Distributions and Generalized Linear Models. Bayesian Nonparametric Mixture Modeling for Regression Settings. Dependent Nonparametric Mixture Models. Spatial and Spatio-Temporal Modeling with Dependent Nonparametric Priors. More General Nonparametric Mixture Models. Conclusions/Discussion.

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