This book provides an accessible approach to Bayesian computing
and data analysis, with an emphasis on the interpretation of real
data sets. Following in the tradition of the successful first
edition, this book aims to make a wide range of statistical
modeling applications accessible using tested code that can be
readily adapted to the reader's own applications. The second
edition has been thoroughly reworked and updated to take account of
advances in the field. A new set of worked examples is included.
The novel aspect of the first edition was the coverage of
statistical modeling using WinBUGS and OPENBUGS. This feature
continues in the new edition along with examples using R to broaden
appeal and for completeness of coverage.
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