A First Course in Bayesian Statistical Methods
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and metho...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2009.
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Σειρά: | Springer Texts in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- and examples
- Belief, probability and exchangeability
- One-parameter models
- Monte Carlo approximation
- The normal model
- Posterior approximation with the Gibbs sampler
- The multivariate normal model
- Group comparisons and hierarchical modeling
- Linear regression
- Nonconjugate priors and Metropolis-Hastings algorithms
- Linear and generalized linear mixed effects models
- Latent variable methods for ordinal data.