This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be
An Introduction to Bayesian Analysis
β Scribed by Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta
- Publisher
- Springer New York
- Year
- 2009
- Tongue
- English
- Leaves
- 356
- Series
- Springer Texts in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
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This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be
<span><span>Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is