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Bayesian data analysisAndrew Gelman, John B. Carlin et al.

Bayesian data analysis

668 pagesFirst published 200311 editions
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"Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations.". "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models.". "Two important and unique features of this text are…

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Editions

11 in Spinefolk
FormatPublisherYearPagesISBN
EditionTaylor & Francis Group20132209781439840962
EditionTaylor & Francis Group20136759781439898222
EditionTaylor & Francis Group20136759781439898208
EditionTaylor & Francis Group20136759780429113079
EditionChapman & Hall/CRC20046689781584883883
EditionTaylor & Francis Group20036689781280267819
EditionTaylor & Francis Group2003—9781102154174
EditionTaylor & Francis Group20036969781420057294
EditionTaylor & Francis Group1995—9780203491287
EditionChapman & Hall/CRC19955529780412039911
Edition—1995—9780429258411
Bayesian statistical decision theoryMathematical statisticsMathematicsGeneralScbe016515Scma605030Scma605050Probability & statistics