A Gibbs Sampling Algorithm for Univariate Time Series DLM
Shi Ru · 2002
we show how to use the Gibbs sampler to carry out Bayesian inference for linear dynamic model.It is different from the formerone and can generate all the state vectors at once under the conditions given other variables.The filtering process is improved.