Collecting Bayesian material scattered throughout the literature,
Current Trends in Bayesian Methodology with Applications examines
the latest methodological and applied aspects of Bayesian
statistics. The book covers biostatistics, econometrics,
reliability and risk analysis, spatial statistics, image analysis,
shape analysis, Bayesian computation, clustering, uncertainty
assessment, high-energy astrophysics, neural networking, fuzzy
information, objective Bayesian methodologies, empirical Bayes
methods, small area estimation, and many more topics. Each chapter
is self-contained and focuses on a Bayesian methodology. It gives
an overview of the area, presents theoretical insights, and
emphasizes applications through motivating examples. This book
reflects the diversity of Bayesian analysis, from novel Bayesian
methodology, such as nonignorable response and factor analysis, to
state-of-the-art applications in economics, astrophysics,
biomedicine, oceanography, and other areas. It guides readers in
using Bayesian techniques for a range of statistical analyses.
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