RDS 284
Decision Theory
Introduces the standard model of decision-making under uncertainty, its conceptual foundations, challenges, alternatives, and methodological issues arising from the application of these techniques to health issues. Topics include von Neumann-Morgenstern and multi-attribute utility theory, Bayesian statistical decision theory, stochastic dominance, the value of information, judgment under uncertainty and alternative models of probability and decision making (regret theory, prospect theory,…
Topics
- von Neumann-Morgenstern and multi-attribute utility theory
- Bayesian statistical decision theory
- stochastic dominance
- the value of information
- judgment under uncertainty and alternative models of probability and decision making (regret theory
- prospect theory,…
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings