Understanding computational Bayesian statistics / William M. Bolstad.
Series: Wiley series in computational statisticsPublication details: Wiley, 2009. Hoboken, N.J. :Description: xiv, 315 p. : ill. ; 25 cmISBN:- 9780470046098
- 22 519.542 B638U
Item type | Current library | Call number | Status | Date due | Barcode |
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Books | Library and Documentation Division PGRRL | 519.542 B638U (Browse shelf(Opens below)) | Available | 112998 |
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519.52 Si648 Theory and analysis of sample survey design/ | 519.5354 N633E Elements of Dual Scaling: | 519.536 Os15R Regression & linear modeling : | 519.542 B638U Understanding computational Bayesian statistics / | 519.542 Sh23Q-3 Quantitative techniques for decision making / | 519.57 D344D-2 Design and analysis of experiments / | 519.6 B462C Convex Optimization Theory / |
Includes bibliographical references (p. 307-311) and index.
Introduction to Bayesian statistics -- Monte Carlo sampling from the posterior -- Bayesian inference -- Bayesian statistics using conjugate priors -- Markov chains -- Markov chain Monte Carlo sampling from the posterior -- Statistical inference from a Markov chain Monte Carlo sample -- Logistic regression -- Poisson regression and proportional hazards model -- Gibbs sampling and hierarchical models -- Going forward with Markov chain Monte Carlo -- Appendix A: Using the included Minitab macros -- Appendix B: Using the included R functions.
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