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- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Statistics (SSS)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Reviews
A.V. Tsukanov in "Short Book Reviews", Vol. 20/3, December 2000
Authors and Affiliations
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Department of Mathematical Sciences, Worcester Polytechnic Institute, Worcester, USA
Ming-Hui Chen
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Department of Mathematics, University of Oregon, Eugene, USA
Qi-Man Shao
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Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, USA
Joseph G. Ibrahim
Bibliographic Information
Book Title: Monte Carlo Methods in Bayesian Computation
Authors: Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4612-1276-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-387-98935-8Published: 21 January 2000
Softcover ISBN: 978-1-4612-7074-4Published: 04 October 2012
eBook ISBN: 978-1-4612-1276-8Published: 06 December 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XIII, 387
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs