《Bayesian Theory and Applications》：
Part I Exchangeability
Part II Hierarchical Models
Part III Markov Chain Monte Carlo
Part IV Dynamic Models
Part V Sequential Monte Carlo
Part VI Nonparametrics
Part VII Spline Models and Copulas
Part VIII Model Elaboration and Prior Distributions
Part IX Regressions and Model Averaging
Part X Finance and Actuarial Science
Part XI Medicine and Biostatistics
Part XII Inverse Problems and Applications
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