Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
