Generalized Spatial Dirichlet Process Models
نویسندگان
چکیده
By JASON A. DUAN Institute of Statistics and Decision Sciences at Duke University, Durham, North Carolina, 27708-0251, U.S.A. [email protected] MICHELE GUINDANI Istituto di Metodi Quantitativi, Università Bocconi, 20136, Milano, Italy [email protected] and ALAN E. GELFAND Institute of Statistics and Decision Sciences at Duke University, Durham, North Carolina, 27708-0251, U.S.A. [email protected]
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Generalized spatial Dirichlet process models BY JASON
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 as a zeromean stationary Gaussian process. The spatial Dirichlet process introduced by Gelfand et al. (2005) produces a random spatial process which is neither Gaussian nor stationary. Rather, it varies about a pro...
متن کاملBiometrika Advance Access published December 3 , 2007
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 as a zeromean stationary Gaussian process. The spatial Dirichlet process introduced by Gelfand et al. (2005) produces a random spatial process which is neither Gaussian nor stationary. Rather, it varies about a pro...
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