Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Joint DistributionsExplores joint distributions, marginal laws, covariance, correlation, and variance properties.
Copulas: Properties and ApplicationsCovers copulas, Sklar's Theorem, meta distributions, and various dependence measures like rank correlations and coefficients of tail dependence.
Probability and StatisticsCovers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Continuous Random VariablesCovers continuous random variables, probability density functions, and distributions, with practical examples.
