包括：
Bayesian Semi-parametric and Non-parametric Methods for Marketing and Micro-econometrics by Peter Rossi
Bayesian measures of model complexity and fit-DIC
Bayesian Data Analysis 2nd edition
Casella&George_1992_Explaining the Gibbs Sampler
Chib&Greenberg_1995_Understanding the Metropolis-Hastings Algorithm
Sinharay_2003_Assessing convergence of the Markov chain Monte Carlo algorithms- A review
The Metropolitan-Hastings Algorithm and Extensions
Wishart_distribution and Inverse-Wishart Sampling
Gelman&Rubin_1992_Inference from iterative simulation using multiple sequences
Metropolis Sampling for a 2-Valued Random Variable
Bayesian_material.rar
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本附件包括：
- Gelman&Rubin_1992_Inference from iterative simulation using multiple sequences.pdf
- The Metropolitan-Hastings Algorithm and Extensions.pdf
- Sinharay_2003_Assessing convergence of the Markov chain Monte Carlo algorithms- A review.pdf
- Wishart_distribution and Inverse-Wishart Sampling.pdf
- Bayesian Data Analysis 2nd edition.pdf
- Bayesian measures of model complexity and fit-DIC.pdf
- Bayesian Semi-parametric and Non-parametric Methods for Marketing and Micro-econometrics.pdf
- Casella&George_1992_Explaining the Gibbs Sampler.pdf
- Chib&Greenberg_1995_Understanding the Metropolis-Hastings Algorithm.pdf
- Metropolis Sampling for a 2-Valued Random Variable.pdf
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