Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
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.
Explores the marriage problem, modeling the process as a controlled stochastic process with dynamic programming algorithms to find the optimal policy for accepting bachelors.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.
