Analysis of Discrete Data: Model Selection, Akaike and Bayesian information criterion
1:02:42
Analysis of Discrete Data Lesson 11: Sampling and Structural Zeros part 1
1:07:19
Analysis of Discrete Data Lesson 1: Likelihood and maximum likelihood
1:09:16
Analysis of Discrete Data Lesson 6 part 1: generalized linear models (GLMs) and logistic regression
58:58
Analysis of Discrete Data Lesson 8: Multinomial Logistic Regression Part 1
20:14
Model selection: Information criteria
51:37
EM algorithm and missing data part 2
1:08:31
Analysis of Discrete Data Lesson 6 Part 2
16:17