Bayesian probability theory : applications in the physical sciences /
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
2014.
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| Subjects: |
Table of Contents:
- The meaning of probability
- Basic definitions for frequentist statistics and Bayesian inference
- Bayesian inference
- Combinatrics
- Random walks
- Limit theorems
- Continuous distributions
- The central limit theorem
- Poisson processes and waiting times
- Prior probabilities by transformation invariance
- Testable information and maximum entropy
- Quantified maximum entropy
- Global smoothness
- Bayesian parameter estimation
- Frequentist parameter estimation
- The Cramer-Rao inequality
- The Bayesian way
- The frequentist approach
- Sampling distributions
- Comparison of Bayesian and frequentist hypothesis tests
- Regression
- Consistent inference on inconsistent data
- Unrecognized signal contributions
- Change point problems
- Function estimation
- Integral equations
- Model selection
- Bayesian experimental design
- Numerical integration
- Monte Carlo methods
- Nested sampling.