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Part I. Fundamentals of Bayesian Inference:
1. Introduction;
2. Basic concepts of probability and inference;
3. Posterior distributions and inference;
4. Prior distributions;
Part II. Simulation:
5. Classical simulation;
6. Basics of Markov chains;
7. Simulation by MCMC methods;
Part III. Applications:
8. Linear regression and extensions;
9. Multivariate responses;
10. Time series;
11. Endogenous covariates and sample selection; Appendix A: Probability distributions and matrix theorems; Appendix B: Computer programs for MCMC calculations.
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