Equivalent kriging
暂无分享,去创建一个
[1] M. Wand. Fast Computation of Multivariate Kernel Estimators , 1994 .
[2] J. Andrew Royle,et al. Multiresolution models for nonstationary spatial covariance functions , 2002 .
[3] Roger Woodard,et al. Interpolation of Spatial Data: Some Theory for Kriging , 1999, Technometrics.
[4] G. Wahba,et al. Some results on Tchebycheffian spline functions , 1971 .
[5] M. Anitescu,et al. STOCHASTIC APPROXIMATION OF SCORE FUNCTIONS FOR GAUSSIAN PROCESSES , 2013, 1312.2687.
[6] Philip J. Bones,et al. Algorithms to numerically evaluate the Hankel transform , 1993 .
[7] M. Fuentes. Approximate Likelihood for Large Irregularly Spaced Spatial Data , 2007, Journal of the American Statistical Association.
[8] H. Rue,et al. An explicit link between Gaussian fields and Gaussian Markov random fields; The SPDE approach , 2010 .
[9] Jianhua Z. Huang,et al. A full scale approximation of covariance functions for large spatial data sets , 2012 .
[10] D. Cox. Asymptotics for $M$-Type Smoothing Splines , 1983 .
[11] W. H. Young. On Multiple Integration by Parts and the Second Theorem of the Mean , 1917 .
[12] Jerzy Zabczyk,et al. Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach , 2007 .
[13] Douglas W. Nychka,et al. Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets , 2008 .
[14] D. Nychka,et al. A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets , 2015 .
[15] N. Cressie,et al. Fixed rank kriging for very large spatial data sets , 2008 .
[16] A. Siegman. Quasi fast Hankel transform. , 1977, Optics letters.
[17] A. Gelfand,et al. Gaussian predictive process models for large spatial data sets , 2008, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[18] B. Silverman,et al. Spline Smoothing: The Equivalent Variable Kernel Method , 1984 .
[19] Ying Sun,et al. Geostatistics for Large Datasets , 2012 .
[20] Michael L. Stein,et al. A modeling approach for large spatial datasets , 2008 .
[21] D. Nychka,et al. Covariance Tapering for Interpolation of Large Spatial Datasets , 2006 .
[22] Doug Nychka,et al. A framework to understand the asymptotic properties of Kriging and splines , 2007 .
[23] Michael L. Stein,et al. Limitations on low rank approximations for covariance matrices of spatial data , 2014 .
[24] Douglas W. Nychka,et al. Splines as Local Smoothers , 1995 .
[25] Grace Wahba,et al. Spline Models for Observational Data , 1990 .
[26] Kerry Key,et al. Is the fast Hankel transform faster than quadrature , 2012 .
[27] Biao Zhang,et al. Kernel approximations for universal kriging predictors , 1993 .
[28] Andrew O. Finley,et al. Improving the performance of predictive process modeling for large datasets , 2009, Comput. Stat. Data Anal..
[29] Craig J. Johns,et al. Infilling Sparse Records of Spatial Fields , 2003 .
[30] H. Rue,et al. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach , 2011 .
[31] Marc G. Genton,et al. Correlation Models for Temperature Fields , 2011 .
[32] J. Chilès,et al. Geostatistics: Modeling Spatial Uncertainty , 1999 .