Covers copulas, Sklar's Theorem, meta distributions, and various dependence measures like rank correlations and coefficients of tail dependence.
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Explores Euclidean correlation functions and the transition to real time using Wick rotation, along with a discussion on good and bad habits.
Explores the Four Functions Theorem, covering positive correlation, XY2 inequality, and monotone increasing property.
