Holdings: Understanding computational Bayesian statistics

Understanding computational Bayesian statistics:

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Bibliographic Details
Main Author:	Bolstad, William M. (Author)
Format:	Book
Language:	English
Published:	Hoboken, NJ Wiley 2010
Series:	Wiley series in computational statistics
Subjects:	Markov-Kette Monte-Carlo-Simulation Bayes-Entscheidungstheorie
Online Access:	Inhaltsverzeichnis Inhaltsverzeichnis
Item Description:	Literaturverz. S. 307 - 311
Physical Description:	XIV, 315 S. graph. Darst.
ISBN:	9780470046098

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MARC


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Record in the Search Index

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adam_text	IMAGE 1 PREFACE P. XI INTRODUCTION TO BAYESIAN STATISTICS P. 1 THE FREQUENTIST APPROACH TO STATISTICS P. 1 THE BAYESIAN APPROACH TO STATISTICS P. 3 COMPARING LIKELIHOOD AND BAYESIAN APPROACHES TO STATISTICS P. 6 COMPUTATIONAL BAYESIAN STATISTICS P. 19 PURPOSE AND ORGANIZATION OF THIS BOOK P. 20 MONTE CARLO SAMPLING FROM THE POSTERIOR P. 25 ACCEPTANCE-REJECTION-SAMPLING P. 27 SAMPLING-IMPORTANCE-RESAMPLING P. 33 ADAPTIVE-REJECTION-SAMPLING FROM A LOG-CONCAVE DISTRIBUTION P. 35 WHY DIRECT METHODS ARE INEFFICIENT FOR HIGH-DIMENSION PARAMETER SPACE P. 42 BAYESIAN INFERENCE P. 47 BAYESIAN INFERENCE FROM THE NUMERICAL POSTERIOR P. 47 BAYESIAN INFERENCE FROM POSTERIOR RANDOM SAMPLE P. 54 BAYESIAN STATISTICS USING CONJUGATE PRIORS P. 61 ONE-DIMENSIONAL EXPONENTIAL FAMILY OF DENSITIES P. 61 DISTRIBUTIONS FOR COUNT DATA P. 62 DISTRIBUTIONS FOR WAITING TIMES P. 69 NORMALLY DISTRIBUTED OBSERVATIONS WITH KNOWN VARIANCE P. 75 NORMALLY DISTRIBUTED OBSERVATIONS WITH KNOWN MEAN P. 78 NORMALLY DISTRIBUTED OBSERVATIONS WITH UNKNOWN MEAN AND VARIANCE P. 80 MULTIVARIATE NORMAL OBSERVATIONS WITH KNOWN COVARIANCE MATRIX P. 85 OBSERVATIONS FROM NORMAL LINEAR REGRESSION MODEL P. 87 APPENDIX: PROOF OF POISSON PROCESS THEOREM P. 97 MARKOV CHAINS P. 101 STOCHASTIC PROCESSES P. 102 MARKOV CHAINS P. 103 TIME-INVARIANT MARKOV CHAINS WITH FINITE STATE SPACE P. 104 CLASSIFICATION OF STATES OF A MARKOV CHAIN P. 109 SAMPLING FROM A MARKOV CHAIN P. 114 TIME-REVERSIBLE MARKOV CHAINS AND DETAILED-BALANCE P. 117 MARKOV CHAINS WITH CONTINUOUS STATE SPACE P. 120 MARKOV CHAIN MONTE CARLO SAMPLING FROM POSTERIOR P. 127 METROPOLIS-HASTINGS ALGORITHM FOR A SINGLE PARAMETER P. 130 METROPOLIS-HASTINGS ALGORITHM FOR MULTIPLE PARAMETERS P. 137 BLOCKWISE METROPOLIS HASTINGS ALGORITHM P. 144 GIBBS SAMPLING P. 149 SUMMARY P. 150 STATISTICAL INFERENCE FROM A MARKOV CHAIN MONTE CARLO SAMPLE P. 159 MIXING PROPERTIES OF THE CHAIN P. 160 IMAGE 2 FINDING A HEAVY-TAILED MATCHED CURVATURE CANDIDATE DENSITY P. 162 OBTAINING AN APPROXIMATE RANDOM SAMPLE FOR INFERENCE P. 168 APPENDIX: PROCEDURE FOR FINDING THE MATCHED CURVATURE CANDIDATE DENSITY FOR A MULTIVARIATE PARAMETER P. 176 LOGISTIC REGRESSION P. 179 LOGISTIC REGRESSION MODEL P. 180 COMPUTATIONAL BAYESIAN APPROACH TO THE LOGISTIC REGRESSION MODEL P. 184 MODELLING WITH THE MULTIPLE LOGISTIC REGRESSION MODEL P. 192 POISSON REGRESSION AND PROPORTIONAL HAZARDS MODEL P. 203 POISSON REGRESSION MODEL P. 204 COMPUTATIONAL APPROACH TO POISSON REGRESSION MODEL P. 207 THE PROPORTIONAL HAZARDS MODEL P. 214 COMPUTATIONAL BAYESIAN APPROACH TO PROPORTIONAL HAZARDS MODEL P. 218 GIBBS SAMPLING AND HIERARCHICAL MODELS P. 235 GIBBS SAMPLING PROCEDURE P. 236 THE GIBBS SAMPLER FOR THE NORMAL DISTRIBUTION P. 237 HIERARCHICAL MODELS AND GIBBS SAMPLING P. 242 MODELLING RELATED POPULATIONS WITH HIERARCHICAL MODELS P. 244 APPENDIX: PROOF THAT IMPROPER JEFFREY S PRIOR DISTRIBUTION FOR THE HYPERVARIANCE CAN LEAD TO AN IMPROPER POSTERIOR P. 261 GOING FORWARD WITH MARKOV CHAIN MONTE CARLO P. 265 USING THE INCLUDED MINITAB MACROS P. 271 USING THE INCLUDED R FUNCTIONS P. 289 REFERENCES P. 307 TOPIC INDEX P. 313 TABLE OF CONTENTS PROVIDED BY BLACKWELL S BOOK SERVICES AND R.R. BOWKER. USED WITH PERMISSION.
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spelling	Bolstad, William M. Verfasser aut Understanding computational Bayesian statistics William M. Bolstad Hoboken, NJ Wiley 2010 XIV, 315 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in computational statistics Literaturverz. S. 307 - 311 Markov-Kette (DE-588)4037612-6 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 s Markov-Kette (DE-588)4037612-6 s Monte-Carlo-Simulation (DE-588)4240945-7 s DE-604 DE-601 pdf/application http://www.gbv.de/dms/bowker/toc/9780470046098.pdf Inhaltsverzeichnis GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020190950&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Bolstad, William M. Understanding computational Bayesian statistics Markov-Kette (DE-588)4037612-6 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd
subject_GND	(DE-588)4037612-6 (DE-588)4240945-7 (DE-588)4144220-9
title	Understanding computational Bayesian statistics
title_auth	Understanding computational Bayesian statistics
title_exact_search	Understanding computational Bayesian statistics
title_full	Understanding computational Bayesian statistics William M. Bolstad
title_fullStr	Understanding computational Bayesian statistics William M. Bolstad
title_full_unstemmed	Understanding computational Bayesian statistics William M. Bolstad
title_short	Understanding computational Bayesian statistics
title_sort	understanding computational bayesian statistics
topic	Markov-Kette (DE-588)4037612-6 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd
topic_facet	Markov-Kette Monte-Carlo-Simulation Bayes-Entscheidungstheorie
url	http://www.gbv.de/dms/bowker/toc/9780470046098.pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020190950&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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