Principles of Uncertainty

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CRC Press, 18 de mai. de 2011 - 504 páginas
An intuitive and mathematical introduction to subjective probability and Bayesian statistics.An accessible, comprehensive guide to the theory of Bayesian statistics, Principles of Uncertainty presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.
 

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Conteúdo

Probability
1
Conditional Probability and Bayes Theorem
29
Discrete Random Variables
79
Continuous Random Variables
117
Transformations
185
Normal Distribution
233
Making Decisions
267
Conjugate Analysis
299
Hierarchical Structuring of a Model
335
Markov Chain Monte Carlo
351
Multiparty Problems
379
Exploration of Old Ideas
435
Applications
447
Bibliography
449
Back Cover
465
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Sobre o autor (2011)

Joseph B. Kadane, Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

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