Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Discrete Random VariablesCovers properties and transformations of discrete random variables, focusing on PMF and expectation.
Continuous Random VariablesCovers continuous random variables, probability density functions, and distributions, with practical examples.
Probability and StatisticsCovers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Probability and StatisticsCovers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Modes of ConvergenceExplores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.
Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.