A Non-Gaussian Spatial Generalized Linear Latent Variable Model

Author:

Irincheeva Irina,Cantoni Eva,Genton Marc G.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Reference42 articles.

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2. John Wiley Series in Probability and Statistics;D. J. Bartholomew,2011

3. Bell, M., McDermott, A., Zeger, S., Samet, J., and Dominici, F. (2005), “Ozone and Short-Term Mortality in 95 US Urban Communities, 1987–2000,” Journal of the American Medical Association, 292, 2371–2378.

4. Berntsen, J., Espelid, T. O., and Genz, A. (1991), “An Adaptive Algorithm for the Approximate Calculation of Multiple Integrals,” ACM Transactions on Mathematical Software, 17, 437–451.

5. Bevilacqua, M., Gaetan, C., Mateu, J., and Porcu, E. (2012), “Estimating Space and Space-Time Covariance Functions: A Weighted Composite Likelihood Approach,” Journal of the American Statistical Association, 107 (497), 268–280.

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1. Factor copula models for mixed data;British Journal of Mathematical and Statistical Psychology;2021-03-16

2. Factor Copula Models for Replicated Spatial Data;Journal of the American Statistical Association;2018-01-02

3. Discrimination of water quality monitoring sites in River Vouga using a mixed-effect state space model;Stochastic Environmental Research and Risk Assessment;2015-08-09

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