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Bayesian Nonparametric Data Analysis / / by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson



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Autore: Müller Peter Visualizza persona
Titolo: Bayesian Nonparametric Data Analysis / / by Peter Müller, Fernando Andres Quintana, Alejandro Jara, Tim Hanson Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (203 p.)
Disciplina: 519.542
Soggetto topico: Statistics
Mathematical statistics - Data processing
Biometry
Statistical Theory and Methods
Statistics and Computing
Biostatistics
Persona (resp. second.): QuintanaFernando Andrés
JaraAlejandro
HansonTim
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index at the end of each chapters.
Nota di contenuto: Preface -- Acronyms -- 1.Introduction -- 2.Density Estimation - DP Models -- 3.Density Estimation - Models Beyond the DP -- 4.Regression -- 5.Categorical Data -- 6.Survival Analysis -- 7.Hierarchical Models -- 8.Clustering and Feature Allocation -- 9.Other Inference Problems and Conclusions -- Appendix: DP package.
Sommario/riassunto: 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 on-line software pages.
Titolo autorizzato: Bayesian Nonparametric Data Analysis  Visualizza cluster
ISBN: 9783319189680
3319189689
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299766803321
Lo trovi qui: Univ. Federico II
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Serie: Springer Series in Statistics, . 2197-568X