Applied bayesian statistics:
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC
SAGE
[2023]
|
Schriftenreihe: | Quantitative applications in the social sciences
191 |
Schlagwörter: | |
Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033684705&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
Umfang: | xxi, 187 Seiten Illustrationen, Diagramme |
ISBN: | 9781544334639 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | CONTENTS List of Tables xi List of Figures xiii About the Author xvii Series Editor’s Introduction xix Acknowledgments xxi 1. Introduction Data and Topics Explored in Examples Mathematical Knowledge Required for this Volume Layout of the Book 1 4 9 11 2. Probability Distributions and Review of Classical Analysis Probability Distributions Important Distributions in Bayesian Statistics Marginal and Conditional Distributions Review of Maximum Likelihood Analysis 13 15 17 25 28 3. The Bayesian Approach to Probability andStatistics Including a Prior Distribution and Summarizing the Posterior More on Priors Extending the Beta/Binomial Model to the DirichletZMultinomial Normal Distribution Examples 34 37 43 48 51 4. Markov Chain Monte Carlo (MCMC) Sampling Methods Logic of Sampling to Summarize Distributions A Simple Method for When Direct Simulation Is Impossible Markov Processes and Chains Basic Markov Chain Monte Carlo Methods Slice Sampling Evaluating MCMC Algorithm Performance 62 63 66 68 71 91 96 5. Implementing the Bayesian Approach in Realistic Applications 111 The Linear Model 111 The Dichotomous Probit Model 123 A Latent Class (Finite Mixture) Model 133 Comparing Models and Evaluating Model Fit 150
6. Conclusion Why Take a Bayesian Perspective? Some Additional Suggested Readings 160 161 166 Appendix 1. R Program for Simple Three-State Model With Uniform Proposal in Chapter 4 2. R Program for Simple Three-State Model With Nonuniform Proposal in Chapter 4 3. Random Walk Metropolis-Hastings Algorithm 4. Function for Computing Original Gelman-Rubin Diagnostic 5. Gibbs Sampler for the Linear Regression Model With Reference Prior 6. Gibbs Sampler for the Probit Regression Model With Uniform Priors 7. Gibbs Sampler for Two-Class Latent Class Model With Priors 8. Posterior Predictive Distribution Simulation (for Linear Model) 169 169 170 171 172 173 174 175 177 References 178 Index 181
|
any_adam_object | 1 |
author | Lynch, Scott Michael 1971- |
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building | Verbundindex |
bvnumber | BV048304994 |
classification_rvk | MR 2100 SK 830 |
ctrlnum | (OCoLC)1353215546 (DE-599)BVBBV048304994 |
discipline | Soziologie Mathematik |
format | Book |
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id | DE-604.BV048304994 |
illustrated | Illustrated |
indexdate | 2024-12-20T19:41:24Z |
institution | BVB |
isbn | 9781544334639 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033684705 |
oclc_num | 1353215546 |
open_access_boolean | |
owner | DE-11 DE-20 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-83 DE-355 DE-BY-UBR |
owner_facet | DE-11 DE-20 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-83 DE-355 DE-BY-UBR |
physical | xxi, 187 Seiten Illustrationen, Diagramme |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | SAGE |
record_format | marc |
series | Quantitative applications in the social sciences |
series2 | Quantitative applications in the social sciences |
spellingShingle | Lynch, Scott Michael 1971- Applied bayesian statistics Quantitative applications in the social sciences Soziologe (DE-588)4055930-0 gnd Statistik (DE-588)4056995-0 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
subject_GND | (DE-588)4055930-0 (DE-588)4056995-0 (DE-588)4204326-8 |
title | Applied bayesian statistics |
title_auth | Applied bayesian statistics |
title_exact_search | Applied bayesian statistics |
title_full | Applied bayesian statistics Scott M. Lynch, Duke University |
title_fullStr | Applied bayesian statistics Scott M. Lynch, Duke University |
title_full_unstemmed | Applied bayesian statistics Scott M. Lynch, Duke University |
title_short | Applied bayesian statistics |
title_sort | applied bayesian statistics |
topic | Soziologe (DE-588)4055930-0 gnd Statistik (DE-588)4056995-0 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
topic_facet | Soziologe Statistik Bayes-Verfahren |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033684705&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV000005102 |
work_keys_str_mv | AT lynchscottmichael appliedbayesianstatistics |