内容

目次

Preface; 1. The subjective interpretation of probability; 2. Bayesianinference; 3. Point estimation; 4. Frequentist properties of Bayesianestimators; 5. Interval estimation; 6. Hypothesis testing; 7. Prediction; 8.Choice of prior; 9. Asymptotic Bayes; 10. The linear regression model; 11.Basics of Bayesian computation; 12. Hierarchical models; 13. The linearregression model with general covariance matrix; 14. Latent variable models;15. Mixture models; 16. Bayesian model averaging and selection; 17. Somestationary time series models; 18. Some nonstationary time series models;Appendix; Index.