Alternative theories of inference (Bayes, likelihood, Neyman-Pearson hypothesis testing, etc.)
2013 Lecture
Lecture 3 Video (2 hrs) Lecture 4 Video (2 hrs) Lecture 5 Video (2 hrs)
Slides used in class Slides for printing
2013 Section
Section 3 Video (1 hr) Section 3 Slides Section 3 Slides (printable) Section 4 Slides Section 4 Video (1 hr)
Computation Section Code Section 5 Video (1 hr) Section 5 Slides Section 5 Slides (Printable)
2012 Lecture
Lecture 3 Video (2 hrs) Lecture 4 Video (2 hrs) 
Slides used in class Printable version of slides
2012 Section
Section 2: Introduction to Likelihood Section 2: Slides Section 3: Optimization Section 3: Slides Section 4: Likelihood (cont.) Section 4: Slides
2010 Lecture (selections):
Slides used in these videos Problem of Inference and Likelihood Theory of Inference (36:34) Bayesian Theory of Inference (22:14) Neyman-Pearson Hypothesis Testing (13:03) What is the Best Theory of Inference? (09:29) Likelihood of Stylized Normal (28:44) Hyperdimensional Space (11:04) Finding Maximum of Likelihood (05:15) Properties of Likelihood Maximum + Uncertainty (23:02) Standard Errors of Maximum Likelihood Estimates (29:20) Simulation for any Maximum Likelihood Model (08:37) Forecasting Presidential Elections - Part 1 (18:42) Forecasting Presidential Elections - Part 2 (21:01) Variance Function Models (08:05)
