Generalized spatial Dirichlet process models
JA Duan, M Guindani, AE Gelfand - Biometrika, 2007 - academic.oup.com
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
[引用][C] Generalized Spatial Dirichlet Process Models
JA Duan, M Guindani, AE Gelfand - Biometrika, 2007 - cir.nii.ac.jp
Generalized Spatial Dirichlet Process Models | CiNii Research CiNii 国立情報学研究所 学術
情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学図書館の本を …
情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学図書館の本を …
[PDF][PDF] Generalized spatial Dirichlet process models
JA DUAN, M GUINDANI, AE GELFAND - Biometrika, 2007 - Citeseer
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
Generalized spatial dirichlet process models
JA Duan, M Guindani, AE Gelfand - Biometrika, 2007 - mdanderson.elsevierpure.com
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
[PDF][PDF] Generalized spatial Dirichlet process models
JA DUAN, M GUINDANI, AE GELFAND - Biometrika, 2007 - people.ee.duke.edu
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
Generalized Spatial Dirichlet Process Models
JA Duan, M Guindani, AE Gelfand - Biometrika, 2007 - elibrary.ru
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
[PDF][PDF] Generalized spatial Dirichlet process models
JA DUAN, M GUINDANI, AE GELFAND - Biometrika, 2007 - academia.edu
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
[PDF][PDF] Generalized Spatial Dirichlet Process Models
JA DUAN - scholar.archive.org
In many applications, spatial data are assumed to be point referenced, eg, observed at geo-
coded locations. Modelling for this kind of data usually introduces spatial structure in the …
coded locations. Modelling for this kind of data usually introduces spatial structure in the …
Generalized Spatial Dirichlet Process Models.
JA Duan, M Guindani, AE Gelfand - Biometrika, 2007 - search.ebscohost.com
Many models for the study of point-referenced data explicitly introduce spatial random
effects to capture residual spatial association. These spatial effects are customarily modelled …
effects to capture residual spatial association. These spatial effects are customarily modelled …
[PDF][PDF] Generalized Spatial Dirichlet Process Models
JA DUAN - ics.uci.edu
In many applications, spatial data are assumed to be point referenced, eg, observed at geo-
coded locations. Modelling for this kind of data usually introduces spatial structure in the …
coded locations. Modelling for this kind of data usually introduces spatial structure in the …