Functional inverted Wishart for Bayesian multivariate spatial modeling with application to regional climatology model data-Reference-Cited by-同舟云学术

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Functional inverted Wishart for Bayesian multivariate spatial modeling with application to regional climatology model data

Published:2017-09-07 Issue:7 Volume:28 Page:e2467
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Duan L. L.¹,Szczesniak R. D.²,Wang X.³

Affiliation:

1. Department of Statistical Science; Duke University; P.O. Box 90251, Durham NC 27708 U.S.A.

2. Division of Biostatistics and Epidemiology; Cincinnati Children's Hospital Medical Center; 3333 Burnet Avenue (MLC 5041) Cincinnati OH 45229 U.S.A.

3. Department of Mathematical Sciences; University of Cincinnati; Cincinnati OH 45221 U.S.A.

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Reference24 articles.

1. Cross-covariance functions for multivariate random fields based on latent dimensions;Apanasovich;Biometrika,2010

2. Duan , L. L. Wang , X. Szczesniak , R. D. 2015 Functional Gaussian process model for Bayesian nonparametric analysis arXiv:1502.03042

3. Approximate likelihood for large irregularly spaced spatial data;Fuentes;Journal of the American Statistical Association,2007

4. Handbook of Spatial Statistics

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