
Statistical Computing, Fall 2017
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Lecture15. Importance Sampling

Lecture 13. Introduction to Monte Carlo Methods and Random Variable Generation

Lecture 12. Implementation of Bayesian Regression and Variable Selection

Lecture 11. Bayesian Linear Regression (continued)

Lecture 10. Linear Bayesian Regression

Lecture 9. Introduction to Bayesian Linear Regression, Model Comparison and Selection

Lecture 8. Prior and Hierarchical Models

Lecture 7. Exponential Family, Generalized Linear Models, Inference for Multivariate Gaussian

