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Bayesian Analysis with Stata

Name: Bayesian Analysis with Stata
Brand: Stata Press
SKU: 02737656
Price: 1802 CZK
Availability: InStock
Author: John Thompson
ISBN: 9781597181419

John Thompson

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 02737656

Nakladatelství Stata Press, červen 2014

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real d... Celý popis

Libristo kód: 02737656

180 b

1 802 Kč

50 % šance Prohledáme celý svět Kdy knihu dostanu?

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Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata’s data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book''s content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.