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 correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores linear recurrence relations, including examples like the Fibonacci numbers and the proof of related theorems.
