Bayesian Essentials with R Jean-Michel Marin; Christian P. Robert
Tipo de material:
- 9781461486862
- 519.542 M337
Tipo de ítem | Biblioteca actual | Signatura topográfica | Copia número | Estado | Código de barras | |
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Biblioteca Universidad Regional Amazónica Ikiam | 519.542 M337 (Navegar estantería(Abre debajo)) | Ej. 1/2 | Disponible | 005029 | |
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Biblioteca Universidad Regional Amazónica Ikiam | 519.542 M337 (Navegar estantería(Abre debajo)) | Ej. 2/2 | Disponible | 005030 |
User's Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture-Recapture Experiments -- Mixture Models -- Time Serie -- Image Analysis
The Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stake are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models.
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