West & Harrison, Bayesian Forecasting and Dynamic Models
West & Harrison, Bayesian Forecasting and Dynamic Models
The attached zip has the examples and data files from West and Harrison, Bayesian Forecasting and Dynamic Models, 2nd ed, Springer 1997. These are all examples of the use of the DLM instruction for analyzing state space models. The authors take a very different approach however, as they emphasize the use of state space models for forecasting with small data sets with possibly changing conditions. Unlike the Durbin and Koopman, Commandeur and Koopman, and Harvey books, they use informative rather than diffuse pre-sample information, and make use of "discounting" for handling the variance of the increment in the state equation which multiplies up the existing uncertainty rather than using the standard additive change to the variance.
Last bumped by TomDoan on Thu Jun 28, 2012 12:16 pm.