Abstract
This paper provides Bayesian updating algorithms for forecasting purpose and Bayesian procedure to detect a changepoint. which is structural change for the case of at most one change, in dynamic linear models with unknown variance components. In addition to a numerical example and sensitivity analysis for detecting changepoints, Bayesian prediction procedure has been shown to be quite effective with an actual data set.