Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.
