
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
Page Count:
1041
Publication Date:
2005-01-01
ISBN-10:
0444515399
ISBN-13:
9780444515391
No comments yet. Be the first to share your thoughts!