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Identifiability Conditions for Spatio-Temporal Bayesian Dynamic Linear Models

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Stefano F. Tonellato
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File URL: ftp://metron.sta.uniroma1.it/RePEc/articoli/2005-4.pdf
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Article provided by Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome in its journal Metron.

Volume (Year): LXIII (2005)
Issue (Month): 1 ()
Pages: 81-101
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Handle: RePEc:mtn:ancoec:0504

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  1. Berger J.O. & De Oliveira V. & Sanso B., 2001. "Objective Bayesian Analysis of Spatially Correlated Data," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1361-1374, December. [Downloadable!] (restricted)
  2. Gabriel Huerta & Bruno Sansó & Jonathan R. Stroud, 2004. "A spatiotemporal model for Mexico City ozone levels," Journal Of The Royal Statistical Society Series C, Royal Statistical Society, vol. 53(2), pages 231-248. [Downloadable!] (restricted)
  3. Le, Nhu D. & Zidek, James V., 1992. "Interpolation with uncertain spatial covariances: A Bayesian alternative to Kriging," Journal of Multivariate Analysis, Elsevier, vol. 43(2), pages 351-374, November. [Downloadable!] (restricted)
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This page was last updated on 2009-10-16.

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