SYS 7075 - Bayesian Forecast-Decision Theory

Effective Start Date: 08/01/2023
Bayesian theory of forecasting and decision making; judgmental procedures and statistical models for probabilistic forecasting, post-processors of deterministic forecasts; sufficient comparisons of forecasters, verification of forecasts, combining forecasts; optimal decision models using probabilistic forecasts including static decision models, sequential decision models, stopping-control models; economic value of forecasts. Prerequisite: SYS 6005 or STAT 6190.

Credits: 3
Grading Basis: Student Option
Requisites: Students must have taken SYS 6005 or STAT 6190.