This article is published in Environmetrics as a special issue on Advances in Statistical Methods for Climate Analysis, edited by Peter Guttorp, University of Washington, Norwegian Computing Center, Stephan R. Sain, National Center for Atmospheric Research, Christopher K. Wikle, University of Missouri.
Special Issue Paper
Bayesian state space models with time-varying parameters: interannual temperature forecasting†
Version of Record online: 15 JUL 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Special Issue: Advances in Statistical Methods for Climate Analysis
Volume 23, Issue 5, pages 466–481, August 2012
How to Cite
Kim, Y. and Mark Berliner, L. (2012), Bayesian state space models with time-varying parameters: interannual temperature forecasting. Environmetrics, 23: 466–481. doi: 10.1002/env.2157
- Issue online: 25 JUL 2012
- Version of Record online: 15 JUL 2012
- Manuscript Accepted: 26 JUN 2012
- Manuscript Revised: 18 JUN 2012
- Manuscript Received: 1 JUN 2011
- NSF. Grant Numbers: DMS-01-39897, DMS-10-49064, ATM-07-24403
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