Articles liés à Bayesian Nonparametric Data Analysis
Synopsis
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
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À propos de l?auteur
Peter Mueller is Professor in the Department of Mathematics and the Department of Statistics & Data Science at the University of Texas at Austin. He has published widely on nonparametric Bayesian statistics, with an emphasis on applications in biostatistics and bioinformatics.
Fernando Andrés Quintana is Professor in the Department of Statistics at Pontificia Universidad Catolica de Chile with interests in nonparametric Bayesian analysis and statistical computing. His publications include extensive work on clustering methods and applications in biostatistics.
Alejandro Jara is Associate Professor in the Department of Statistics at Pontificia Universidad Catolica de Chile, with research interests in nonparametric Bayesian statistics, Markov chain Monte Carlo methods and statistical computing. He developed the R package "DPpackage," a widely used public domain set of programs for inference under nonparametric Bayesian models.
Timothy Hanson is Professor of Statistics in the Department of Statistics at the University of South Carolina. His research interests include survival analysis, nonparametric regression
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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)
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Springer-Verlag Publishing, 2015
ISBN 10 : 3319189670
ISBN 13 : 9783319189673
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Etat : Like New. Fine/As New; Hardcover; Covers are still glossy with "sharp" edge-corners; Unblemished textblock edges; The endpapers and text pages are all bright and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 0.9 lbs; Tan covers with title in white lettering; 2015, Springer-Verlag Publishing; 207 pages; "Bayesian Nonparametric Data Analysis (Springer Series in Statistics)," by Peter Muller, et al. N° de réf. du vendeur SKU-1032AA01503314
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Bayesian Nonparametric Data Analysis
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first text to introduce nonparametric Bayesian inference from a data analysis perspectiveIncludes a large number of examples to illustrate the application of nonparametric Bayesian models for important statistical inference Problems. N° de réf. du vendeur 35204653
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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)
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Bayesian Nonparametric Data Analysis
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Springer, 2015
ISBN 10 : 3319189670
ISBN 13 : 9783319189673
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Bayesian Nonparametric Data Analysis
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Springer International Publishing, Springer Nature Switzerland, 2015
ISBN 10 : 3319189670
ISBN 13 : 9783319189673
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages. N° de réf. du vendeur 9783319189673
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Bayesian Nonparametric Data Analysis
ISBN 10 : 3319189670
ISBN 13 : 9783319189673
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages. 208 pp. Englisch. N° de réf. du vendeur 9783319189673
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Bayesian Nonparametric Data Analysis
ISBN 10 : 3319189670
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Buch. Etat : Neu. Neuware -This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book¿s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. N° de réf. du vendeur 9783319189673
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Bayesian Nonparametric Data Analysis
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ISBN 10 : 3319189670
ISBN 13 : 9783319189673
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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)
Edité par
Springer, 2015
ISBN 10 : 3319189670
ISBN 13 : 9783319189673
Ancien ou d'occasion
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