Elements of StatisticsIntroduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Independence and CovarianceExplores independence and covariance between random variables, discussing their implications and calculation methods.
Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Generalized Linear ModelsCovers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Conditional Expectation: BasicsIntroduces the basics of conditional expectation, covering definitions, properties, and examples in the context of random variables.
Probability and StatisticsCovers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
