Explores the marriage problem, modeling the process as a controlled stochastic process with dynamic programming algorithms to find the optimal policy for accepting bachelors.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
