Some recent work on multivariate Gaussian Markov random fields-Reference-Cited by-同舟云学术

Some recent work on multivariate Gaussian Markov random fields

Published:2018-09 Issue:3 Volume:27 Page:497-541
ISSN:1133-0686
Container-title:TEST
language:en
Short-container-title:TEST

Author:

MacNab Ying C.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s11749-018-0605-3/fulltext.html

Reference87 articles.

1. Barnard J, McCulloch R, Meng X (2000) Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage. Stat Sin 10:1281–1311

2. Banerjee S, Carlin PB, Gelfand AE (2014) Hierarchical modeling and analysis for spatial data, 2nd edn. Chapman & Hall, New York

3. Berman A, Plemmons RJ (1994) Nonnegative matrices in the mathematical sciences. SIAM, Philodelphia

4. Besag J (1974) Spatial interaction and the statistical analysis of lattice systems (with discussion). J R Stat Soc Ser B 36:192–236

5. Besag J, York J, Mollié A (1991) Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 43:1–21

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