Lecture notes and associated Matlab files for second year Ph.D. course taught at the University of Oregon. If you use/adapt this material in your own course, an acknowledgment somewhere in your syllabus or notes would be appreciated. I am not able to provide support for use of the Matlab code.

Review of Important Probability Distributions

Lecture Notes

Introduction to Bayesian Econometrics I

Lecture Notes

Bernoulli_Trials.zip

Poisson_TrailBlazers.zip

Introduction to Bayesian Econometrics II

Lecture Notes

Linear_Regression.zip

Bayesian Computation I

Lecture Notes

Nonlinear_Regression.zip

Bayesian Computation II

Lecture Notes

Linear_Regression_GS.zip

Probit_GS.zip

Bayesian Computation III

Lecture Notes

Linear_Regression_GS_with_Marginal_Likelihood.zip

NL_Regression_MH_with_Marginal_Likelihood.zip

Bayesian Computation IV

Lecture Notes

Linear_Regression_GS_with_Diagnostics.zip

NL_Regression_MH_with_Diagnostics.zip

Linear_Regression_Mixture.zip

Models of Parameter Change

Lecture Notes

Linear_Regression_with_Structural_Break.zip

Markov_Switching_Autoregression.zip