Explores modal and tonal music, analyzing popular music examples like the Beatles' 'Norwegian Wood' to understand scales, tonics, and modes.
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Explains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Explores independence and covariance between random variables, discussing their implications and calculation methods.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
