Introduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
