Title of article :
Bound and convergence of the non-constant dynamic linear model
Author/Authors :
Liao، نويسنده , , Wenhui and Liu، نويسنده , , Yan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
This paper extends the limiting results of West and Harrison (1997, section 5.5) about the convergence of the variances of time series dynamic linear models (TSDLMs) when both, the variances of the observation and evolution errors of the model, are time-varying with steady limits. Analytical results are derived and an illustrative example is provided.
Keywords :
Time series dynamic linear model (TSDLM) , Bayesian dynamic model , Posterior variance , Non-constant dynamic linear model , Bayesian statistics
Journal title :
Journal of Statistical Planning and Inference
Journal title :
Journal of Statistical Planning and Inference