SYS 7075

Bayesian Forecast-Decision Theory

Course Description

Pre-Requisite(s): SYS 6005 or STAT 6190

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.