Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Red bus/Blue bus paradoxExplores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Independence and CovarianceExplores independence and covariance between random variables, discussing their implications and calculation methods.
Mutual Information: ContinuedExplores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
