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This 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 stakes are high and the reader determines the outcome. Special attention is paid to the…
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Editions
1 edition- Other · English · 2013Springer-Verlag New York Inc. · 310 pages · 9781461486862
Bayesian statistical decision theoryR (Computer program language)Qa279.5 .m358 2014519.5/42