Practical Nonparametric and Semiparametric Bayesian Statistics
. Ed(S): Dey, Dipak D.; Muiler, Peter (Duke University)
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Description for Practical Nonparametric and Semiparametric Bayesian Statistics
Paperback. Nonparametric and semiparametric statistical methods are attractive to researchers in a large number of fields, including pharmaceuticals, medical and public health centers, financial institutions, and environmental monitoring centers. This volume presents both the theoretical and applied aspects of these methods. Editor(s): Dey, Dipak D.; MuIler, Peter (Duke University). Series: Lecture Notes in Statistics. Num Pages: 408 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 20. Weight in Grams: 548.
A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
Product Details
Format
Paperback
Publication date
1998
Publisher
Springer-Verlag New York Inc. United States
Number of pages
408
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
392
Place of Publication
New York, NY, United States
ISBN
9780387985176
SKU
V9780387985176
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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