Seminar Details

Seminar Details


Jan 17

10:30 am

Probabilistic Wind Forecasting Using Bayesian Model Averaging

J. McLean Sloughter

General Exam

University of Washington - Department of Statistics

Bayesian model averaging has been shown to be a useful method for developing probabilistic weather forecasts for quantities (such as temperature) that can be represented by univariate normal distributions. This talk will discuss how these methods can be extended to other distributions, using wind forecasting as an example.