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portada Bayesian Analysis. General Framework
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
156
Format
Paperback
Dimensions
22.9x15.2x0.9 cm
ISBN13
9786209921780

Bayesian Analysis. General Framework

João Casaca (Author) · LAP Lambert Academic Publishing · Paperback

Bayesian Analysis. General Framework - João Casaca

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Synopsis "Bayesian Analysis. General Framework"

The book "Bayesian Analysis: General Framework" deals with Bayesian inference within the framework of four stochastic models: the normal random sample, the Gauss-Markov model, the beta-binomial model and the Poisson-gamma model. For each of these models, analytic expressions are presented for the posterior PDF, the prior predictive PDF and the posterior predictive PDF, under the Laplace prior PDF, the Jeffreys prior PDF and the conjugate prior PDF. Topics such as the elicitation of hyper-parameter for the conjugate prior PDF, the selection of models and prediction in multivariate regression analysis and the use of the Bayes factor in the test of hypothesis are dealt with more detail.

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