This volume describes how to develop Bayesian thinking, modelling
and computation both from philosophical, methodological and
application point of view. It further describes parametric and
nonparametric Bayesian methods for modelling and how to use modern
computational methods to summarize inferences using simulation. The
book covers wide range of topics including objective and subjective
Bayesian inferences with a variety of applications in modelling
categorical, survival, spatial, spatiotemporal, Epidemiological,
software reliability, small area and micro array data. The book
concludes with a chapter on how to teach Bayesian thoughts to
nonstatisticians.
Key Features:
-Critical thinking on causal effects
-Objective Bayesian philosophy
-Nonparametric Bayesian methodology
-Simulation based computing techniques
-Bioinformatics and Biostatistics
Key Features:
-Critical thinking on causal effects
-Objective Bayesian philosophy
-Nonparametric Bayesian methodology
-Simulation based computing techniques
-Bioinformatics and Biostatistics
General
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