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Frontiers of Statistical Decision Making and Bayesian Analysis

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Cover of 'Frontiers of Statistical Decision Making and Bayesian Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Objective Bayesian Inference with Applications
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    Chapter 3 Bayesian Decision Based Estimation and Predictive Inference
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    Chapter 4 Bayesian Model Selection and Hypothesis Tests
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    Chapter 5 Bayesian Inference for Complex Computer Models
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    Chapter 6 Bayesian Nonparametrics and Semi-parametrics
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    Chapter 7 Bayesian Influence and Frequentist Interface
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    Chapter 8 Bayesian Clinical Trials
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    Chapter 9 Bayesian Methods for Genomics, Molecular and Systems Biology
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    Chapter 10 Bayesian Data Mining and Machine Learning
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    Chapter 11 Bayesian Inference in Political Science, Finance, and Marketing Research
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    Chapter 12 Bayesian Categorical Data Analysis
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    Chapter 13 Bayesian Geophysical, Spatial and Temporal Statistics
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    Chapter 14 Posterior Simulation and Monte Carlo Methods
Attention for Chapter 10: Bayesian Data Mining and Machine Learning
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