Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Explains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.
Explores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Explores multivariate Gaussian laws, covering probabilities, correlations, and conditional distributions in bivariate cases.
