Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Explores dependence in random vectors, covering joint density, conditional independence, covariance, and moment generating functions.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Covers the multinomial distribution, joint density, marginal distribution, and conditional distribution.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
