-
2
-
-
47649103974
-
Gaussian predictive process models for large spatial datasets
-
Banerjee S., Gelfand A.E., Finley A.O., Sang H. Gaussian predictive process models for large spatial datasets. Journal of the Royal Statistical Society, Series B 2008, 70:825-848.
-
(2008)
Journal of the Royal Statistical Society, Series B
, vol.70
, pp. 825-848
-
-
Banerjee, S.1
Gelfand, A.E.2
Finley, A.O.3
Sang, H.4
-
3
-
-
0006198702
-
Hierarchical Bayesian time series models
-
Kluwer Academic Publishers, K. Hanson, R. Silver (Eds.)
-
Berliner L.M. Hierarchical Bayesian time series models. Maximum Entropy and Bayesian Methods 1996, 15-22. Kluwer Academic Publishers. K. Hanson, R. Silver (Eds.).
-
(1996)
Maximum Entropy and Bayesian Methods
, pp. 15-22
-
-
Berliner, L.M.1
-
4
-
-
77953634947
-
A spatio-temporal downscaler for output from numerical models
-
Berrocal V.J., Gelfand A.E., Holland D.M. A spatio-temporal downscaler for output from numerical models. Journal of Agricultural, Biological and Environmental Statistics 2010, 15:176-197.
-
(2010)
Journal of Agricultural, Biological and Environmental Statistics
, vol.15
, pp. 176-197
-
-
Berrocal, V.J.1
Gelfand, A.E.2
Holland, D.M.3
-
6
-
-
0000193853
-
On Gibbs sampling for state space models
-
Carter C.K., Kohn R. On Gibbs sampling for state space models. Biometrika 1994, 81:541-553.
-
(1994)
Biometrika
, vol.81
, pp. 541-553
-
-
Carter, C.K.1
Kohn, R.2
-
7
-
-
80053389161
-
Modeling large scale species abundance through latent spatial processes
-
Chakraborty A., Gelfand A.E, Silander J.A., Latimer A.M., Wilson A. Modeling large scale species abundance through latent spatial processes. Annals of Applied Statistics 2010, 4:1403-1429.
-
(2010)
Annals of Applied Statistics
, vol.4
, pp. 1403-1429
-
-
Chakraborty, A.1
Gelfand, A.E.2
Silander, J.A.3
Latimer, A.M.4
Wilson, A.5
-
8
-
-
80053401740
-
Point pattern modeling for degraded presence-only data over large regions
-
Chakraborty A., Gelfand A.E., Silander J.A., Wilson A., Latimer A. Point pattern modeling for degraded presence-only data over large regions. Journal of the Royal Statistical Society, Series C 2011, 60:757-776.
-
(2011)
Journal of the Royal Statistical Society, Series C
, vol.60
, pp. 757-776
-
-
Chakraborty, A.1
Gelfand, A.E.2
Silander, J.A.3
Wilson, A.4
Latimer, A.5
-
11
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B 1977, 39:1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
13
-
-
62849106305
-
Improving the performance of predictive process modeling for large datasets
-
Finley A.O., Sang H., Banerjee S., Gelfand A.E. Improving the performance of predictive process modeling for large datasets. Computational Statistics and Data Analysis 2009, 53:2873-2884.
-
(2009)
Computational Statistics and Data Analysis
, vol.53
, pp. 2873-2884
-
-
Finley, A.O.1
Sang, H.2
Banerjee, S.3
Gelfand, A.E.4
-
15
-
-
15044352085
-
Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models
-
Fuentes M., Raftery A.E. Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models. Biometrics 2005, 61:36-45.
-
(2005)
Biometrics
, vol.61
, pp. 36-45
-
-
Fuentes, M.1
Raftery, A.E.2
-
16
-
-
20744444147
-
Spatial process modelling for univariate and multivariate dynamic spatial data
-
Gelfand A.E., Banerjee S., Gamerman D. Spatial process modelling for univariate and multivariate dynamic spatial data. Environmetrics 2005, 16:465-479.
-
(2005)
Environmetrics
, vol.16
, pp. 465-479
-
-
Gelfand, A.E.1
Banerjee, S.2
Gamerman, D.3
-
17
-
-
79956292435
-
Bayesian nonparametric modeling for spatial data analysis using Dirichlet processes (with discussion)
-
Oxford University Press, London, J.M. Bernardo, M.J. Bayarri, J.O. Berger, D. Heckerman, A.F.M. Smith, M. West (Eds.)
-
Gelfand A.E., Guindani M., Petrone S. Bayesian nonparametric modeling for spatial data analysis using Dirichlet processes (with discussion). Bayesian Statistics 2007, vol. 8:175-200. Oxford University Press, London. J.M. Bernardo, M.J. Bayarri, J.O. Berger, D. Heckerman, A.F.M. Smith, M. West (Eds.).
-
(2007)
Bayesian Statistics
, vol.8
, pp. 175-200
-
-
Gelfand, A.E.1
Guindani, M.2
Petrone, S.3
-
19
-
-
12844260203
-
Explaining species diversity through species level hierarchical modeling
-
Gelfand A.E., Schmidt A.M., Wu S., Silander J.A., Latimer A., Rebelo A.G. Explaining species diversity through species level hierarchical modeling. Journal of Royal Statictical Society, Series C 2005, 54:1-20.
-
(2005)
Journal of Royal Statictical Society, Series C
, vol.54
, pp. 1-20
-
-
Gelfand, A.E.1
Schmidt, A.M.2
Wu, S.3
Silander, J.A.4
Latimer, A.5
Rebelo, A.G.6
-
20
-
-
84867147419
-
Explaining species distribution patterns through hierarchical modeling
-
Gelfand A.E., Silander J.A., Wu S., Latimer A., Lewis P.O., Rebelo A.G., Holder M. Explaining species distribution patterns through hierarchical modeling. Bayesian Analysis 2005, 1:41-92.
-
(2005)
Bayesian Analysis
, vol.1
, pp. 41-92
-
-
Gelfand, A.E.1
Silander, J.A.2
Wu, S.3
Latimer, A.4
Lewis, P.O.5
Rebelo, A.G.6
Holder, M.7
-
22
-
-
79958755731
-
Spatial prediction using kernel averaged predictors
-
Heaton M.J., Gelfand A.E. Spatial prediction using kernel averaged predictors. Journal of Agricultural, Biological, and Environmental Statistics 2011, 10:233-252.
-
(2011)
Journal of Agricultural, Biological, and Environmental Statistics
, vol.10
, pp. 233-252
-
-
Heaton, M.J.1
Gelfand, A.E.2
-
23
-
-
84864291858
-
Kernel averaged predictors for spatio-temporal regression models
-
(in revision).
-
Heaton, M.J., Gelfand, A.E., 2011. Kernel averaged predictors for spatio-temporal regression models (in revision).
-
(2011)
-
-
Heaton, M.J.1
Gelfand, A.E.2
-
24
-
-
84864291857
-
Analyzing spatial directional data using wrapped Gaussian processes
-
(in revision).
-
Jona Lasinio, G., Gelfand, A.E., Jona Lasinio, M., 2011. Analyzing spatial directional data using wrapped Gaussian processes (in revision).
-
(2011)
-
-
Jona Lasinio, G.1
Gelfand, A.E.2
Jona Lasinio, M.3
-
25
-
-
33645097847
-
Building statistical models to analyze species distributions
-
Latimer A., Wu S., Gelfand A.E., Silander J.A. Building statistical models to analyze species distributions. Ecological Applications 2006, 16:33-50.
-
(2006)
Ecological Applications
, vol.16
, pp. 33-50
-
-
Latimer, A.1
Wu, S.2
Gelfand, A.E.3
Silander, J.A.4
-
26
-
-
41449100102
-
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
-
Phillips S.J., Dudyk M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 2008, 31:161-175.
-
(2008)
Ecography
, vol.31
, pp. 161-175
-
-
Phillips, S.J.1
Dudyk, M.2
-
27
-
-
62849120031
-
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximation
-
Rue H., Martino S., Chopin N. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximation. Journal of the Royal Statistical Society, Series B 2009, 71:1-35.
-
(2009)
Journal of the Royal Statistical Society, Series B
, vol.71
, pp. 1-35
-
-
Rue, H.1
Martino, S.2
Chopin, N.3
-
29
-
-
67651231033
-
Hierarchical modeling for extreme values observed over space and time
-
Sang H., Gelfand A.E. Hierarchical modeling for extreme values observed over space and time. Environmental and Ecological Statistics 2009, 16:407-426.
-
(2009)
Environmental and Ecological Statistics
, vol.16
, pp. 407-426
-
-
Sang, H.1
Gelfand, A.E.2
-
30
-
-
77951765155
-
Continuous spatial process models for spatial extreme values
-
Sang H., Gelfand A.E. Continuous spatial process models for spatial extreme values. Journal of Agricultural, Biological, and Environmental Statistics 2010, 15:49-65.
-
(2010)
Journal of Agricultural, Biological, and Environmental Statistics
, vol.15
, pp. 49-65
-
-
Sang, H.1
Gelfand, A.E.2
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