Fast algorithms for automatic mapping with space-limited covariance functions
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[1] Matthias W. Seeger,et al. Bayesian Gaussian process models : PAC-Bayesian generalisation error bounds and sparse approximations , 2003 .
[2] M. David,et al. The Practice of Kriging , 1976 .
[3] M. Opper,et al. inverse problems: some new approaches , 2022 .
[4] D. Nychka,et al. Covariance Tapering for Interpolation of Large Spatial Datasets , 2006 .
[5] I. H. Öğüş,et al. NATO ASI Series , 1997 .
[6] A. H. Sherman,et al. Comparative Analysis of the Cuthill–McKee and the Reverse Cuthill–McKee Ordering Algorithms for Sparse Matrices , 1976 .
[7] J. A. Vargas-Guzmán,et al. Sequential kriging and cokriging: Two powerful geostatistical approaches , 1999 .
[8] Gene H. Golub,et al. Matrix computations , 1983 .
[9] Christopher K. I. Williams,et al. Observations on the Nyström Method for Gaussian Processes , 2002 .
[10] Holger Wendland,et al. Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree , 1995, Adv. Comput. Math..
[11] Andrew Long. Cokriging, kernels, and the SVD: Toward better geostatistical analysis. , 1994 .
[12] Mike Rees,et al. 5. Statistics for Spatial Data , 1993 .
[13] T. Gneiting. Correlation functions for atmospheric data analysis , 1999 .
[14] C. R. Dietrich,et al. A stability analysis of the geostatistical approach to aquifer transmissivity identification , 1989 .
[15] L. Csató. Gaussian processes:iterative sparse approximations , 2002 .
[16] On the performance of the Gibbs sampler for the multivariate normal distribution , 1995 .
[17] D. Mackay,et al. Introduction to Gaussian processes , 1998 .
[18] Ronald P. Barry,et al. Kriging with large data sets using sparse matrix techniques , 1997 .
[19] Lehel Csat,et al. Fast Spatial Interpolation using Sparse Gaussian Processes , 2005 .
[20] Dubois Gregoire,et al. Spatial Interpolation Comparison (SIC) 2004: Introduction to the Exercise and Overview on the Results , 2005 .
[21] T. C. Haas,et al. Model-based geostatistics. Discussion. Authors' reply , 1998 .
[22] Matthias W. Seeger,et al. PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification , 2003, J. Mach. Learn. Res..
[23] Christopher M. Bishop,et al. Neural networks and machine learning , 1998 .
[24] Katya Scheinberg,et al. Efficient SVM Training Using Low-Rank Kernel Representations , 2002, J. Mach. Learn. Res..
[25] S. Cohn,et al. Ooce Note Series on Global Modeling and Data Assimilation Construction of Correlation Functions in Two and Three Dimensions and Convolution Covariance Functions , 2022 .
[26] Neil D. Lawrence,et al. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression , 2003, AISTATS.
[27] Noel A Cressie,et al. Statistics for Spatial Data. , 1992 .
[28] Neil D. Lawrence,et al. A Sparse B ayesian Compression Scheme — The Informative Vector Machine , 2001 .
[29] Noel A Cressie,et al. Spatial prediction for massive datasets , 2006 .
[30] Manfred Opper,et al. Sparse Representation for Gaussian Process Models , 2000, NIPS.
[31] Neil D. Lawrence,et al. Fast Sparse Gaussian Process Methods: The Informative Vector Machine , 2002, NIPS.
[32] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[33] Michael W.D. Davis,et al. Kriging in a global neighborhood , 1984 .
[34] P. Diggle,et al. Model‐based geostatistics , 2007 .