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Record Nr. |
UNINA9911019593203321 |
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Autore |
Bolstad William M. <1943-> |
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Titolo |
Understanding computational Bayesian statistics / / William M. Bolstad |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, 2010 |
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ISBN |
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9786613446039 |
9781118209929 |
1118209923 |
9781283446037 |
1283446030 |
9780470567371 |
0470567376 |
9780470567340 |
0470567341 |
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Descrizione fisica |
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1 online resource (334 p.) |
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Collana |
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Wiley series in computational statistics |
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Disciplina |
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Soggetti |
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Bayesian statistical decision theory - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"A John Wiley & Sons, Inc., publication." |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior |
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