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Bayesian Essentials with R (Paperback, Softcover reprint of the original 2nd ed. 2014)
Loot Price: R3,480
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Bayesian Essentials with R (Paperback, Softcover reprint of the original 2nd ed. 2014)
Series: Springer Texts in Statistics
Expected to ship within 10 - 15 working days
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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. Special attention is
paid to the derivation of prior distributions in each case and
specific reference solutions are given for each of the models.
Similarly, computational details are worked out to lead the reader
towards an effective programming of the methods given in the book.
In particular, all R codes are discussed with enough detail to make
them readily understandable and expandable. Bayesian Essentials
with R can be used as a textbook at both undergraduate and graduate
levels. It is particularly useful with students in professional
degree programs and scientists to analyze data the Bayesian way.
The text will also enhance introductory courses on Bayesian
statistics. Prerequisites for the book are an undergraduate
background in probability and statistics, if not in Bayesian
statistics.
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