Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Discrete Choice AnalysisIntroduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.
Probabilities and StatisticsCovers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Binary Choice ModelCovers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.
The Nested Logit ModelExplores the nested logit model for discrete choice and its implications on choice behavior and parameter estimation.