Spatio-temporal generalized complex covariance models through convolution
暂无分享,去创建一个
[1] S. De Iaco. Families of complex‐valued covariance models through integration , 2023, Environmetrics.
[2] S. De Iaco. New spatio-temporal complex covariance functions for vectorial data through positive mixtures , 2022, Stochastic Environmental Research and Risk Assessment.
[3] D. Posa,et al. Modeling spatio-temporal complex covariance functions for vectorial data , 2022, Spatial Statistics.
[4] Donato Posa,et al. Time varying complex covariance functions for oceanographic data , 2021 .
[5] D. Posa. Models for the difference of continuous covariance functions , 2021, Stochastic Environmental Research and Risk Assessment.
[6] Donato Posa,et al. Parametric families for complex valued covariance functions: Some results, an overview and critical aspects , 2020 .
[7] D. Posa,et al. Modeling Ocean Currents Through Complex Random Fields Indexed in Time , 2020, Mathematical Geosciences.
[8] Georgiy L. Stenchikov,et al. A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources , 2020, Environmetrics.
[9] Sandra de Iaco,et al. The cgeostat Software for Analyzing Complex-Valued Random Fields , 2017 .
[10] D. Posa,et al. Wind velocity prediction through complex kriging: formalism and computational aspects , 2016, Environmental and Ecological Statistics.
[11] D. Posa,et al. Complex-Valued Random Fields for Vectorial Data: Estimating and Modeling Aspects , 2013, Mathematical Geosciences.
[12] P. Diggle,et al. A Class of Convolution‐Based Models for Spatio‐Temporal Processes with Non‐Separable Covariance Structure , 2010 .
[13] Jorge Mateu,et al. New classes of covariance and spectral density functions for spatio-temporal modelling , 2008 .
[14] M. Genton. Separable approximations of space‐time covariance matrices , 2007 .
[15] M. Stein. Space–Time Covariance Functions , 2005 .
[16] Chunsheng Ma,et al. Linear combinations of space-time covariance functions and variograms , 2005, IEEE Transactions on Signal Processing.
[17] Dionissios T. Hristopulos,et al. Methods for generating non-separable spatiotemporal covariance models with potential environmental applications , 2004 .
[18] M. Palma,et al. Covariance functions and models for complex-valued random fields , 2003 .
[19] Chunsheng Ma,et al. Spatio-Temporal Covariance Functions Generated by Mixtures , 2002 .
[20] T. Gneiting. Nonseparable, Stationary Covariance Functions for Space–Time Data , 2002 .
[21] D. Myers,et al. Space–time analysis using a general product–sum model , 2001 .
[22] N. Cressie,et al. Classes of nonseparable, spatio-temporal stationary covariance functions , 1999 .
[23] Donato Posa,et al. A simple description of spatial-temporal processes , 1993 .
[24] Dale L. Zimmerman,et al. Computationally exploitable structure of covariance matrices and generalized convariance matrices in spatial models , 1989 .
[25] Francois Alabert,et al. The practice of fast conditional simulations through the LU decomposition of the covariance matrix , 1987 .
[26] M. W. Davis,et al. Production of conditional simulations via the LU triangular decomposition of the covariance matrix , 1987, Mathematical Geology.
[27] Michael L. Stein,et al. A simple model for spatial‐temporal processes , 1986 .
[28] F. Lutscher. Spatial Variation , 2019, Interdisciplinary Applied Mathematics.
[29] D. E. Myers,et al. Nonseparable Space-Time Covariance Models: Some Parametric Families , 2002 .
[30] H. Wackernagle,et al. Multivariate geostatistics: an introduction with applications , 1998 .
[31] Roussos Dimitrakopoulos,et al. Spatiotemporal Modelling: Covariances and Ordinary Kriging Systems , 1994 .
[32] Shahrokh Rouhani,et al. Space-Time Kriging of Groundwater Data , 1989 .