Monitoring and adaptation in Bayesian forecasting models

Published

Journal Article

Practical aspects of a new technique for monitoring and controlling the predictive performance of Bayesian forecasting models are discussed. The basic features of the approach to model monitoring introduced in a general setting in West (1986) are described and extended to a wide class of dynamic, nonnormal, and nonlinear Bayesian forecasting models. An associated method of automatically detecting and rejecting outliers and adapting models to abrupt structural changes in the time series is also discussed. The resulting forecast monitoring and control scheme is simply constructed and applied and is illustrated in two applications. © 1976 Taylor & Francis Group, LLC.

Full Text

Duke Authors

Cited Authors

  • West, M; Harrison, PJ

Published Date

  • January 1, 1986

Published In

Volume / Issue

  • 81 / 395

Start / End Page

  • 741 - 750

Electronic International Standard Serial Number (EISSN)

  • 1537-274X

International Standard Serial Number (ISSN)

  • 0162-1459

Digital Object Identifier (DOI)

  • 10.1080/01621459.1986.10478331

Citation Source

  • Scopus