Discrete Choice AnalysisIntroduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.
Independence and CovarianceExplores independence and covariance between random variables, discussing their implications and calculation methods.
Mutual Information: ContinuedExplores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.
Estimation and CorrelationExplains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.