Practical nonparametric and semiparametric Bayesian statistics
By: Dipak Dey, Peter Müller, Debajyoti Sinha (editors).
Contributors: Dey, Dipak.; Müller, Peter, 1963 Aug. 9-; Sinha, Debajyoti.
Series: Lecture notes in statistics ;; 133; Lecture notes in statistics (Springer-Verlag) ;; v. 133.
Publisher: Springer
Published: 1998
Place of publication: New York
Language: eng
Number of pages: 369
Subjects: Bayesian statistical decision theory; Nonparametric statistics
Description: 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.
Notes: Includes bibliographical references.