MATH 138 Decision Theory and Game Theory

Statistical decision theory as used for modeling and resolving problems in a variety of fields, from agriculture to artificial intelligence. Basic statistical models, decision trees, utilities and rewards, risk and loss functions, principles of assessing probabilities, Bayes decisions and Bayes estimation. Also group utilities, conflicts of interest, two person zero-sum games, optimal strategies, the minimax theorem.