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Bayesian nonstationary spatial modeling for very large datasets
16 references·0 citing·26 second hop
Bayesian nonstationary spatial modeling for very large datasets (2013)Bayesian nonstationary spatial modeling f…Hierarchical Modeling and Analysis for Spatial Data (2014)Hierarchical Modeling and Ana…An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)An Explicit Link between Gaus…Gaussian Predictive Process Models for Large Spatial Data Sets (2008)Gaussian Predictive Process M…Fixed Rank Kriging for Very Large Spatial Data Sets (2008)Fixed Rank Kriging for Very L…Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets (2008)Covariance Tapering for Likel…Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Strictly Proper Scoring Rules…Covariance Tapering for Interpolation of Large Spatial Datasets (2006)Covariance Tapering for Inter…Hierarchical Modeling and Analysis for Spatial Data (2003)Hierarchical Modeling and Ana…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Interpolation of Spatial Data (1999)Interpolation of Spatial DataA dimension-reduced approach to space-time Kalman filtering (1999)A dimension-reduced approach …A process-convolution approach to modelling temperatures in the North Atlantic Ocean (1998)A process-convolution approac…Statistics for Spatial Data, Revised Edition. (1994)Statistics for Spatial Data, …Statistics for Spatial Data (1994)Statistics for Spatial DataStatistics for Spatial Data (1993)Statistics for Spatial DataModel-Based Geostatistics (1998)Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models (2012)Spatio-temporal modeling of particulate matter concentration through the SPDE approach (2012)Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Design and Analysis of Computer Experiments (1989)Spatial and spatio-temporal models with R-INLA (2013)Spatial and spatio-temporal models with R-INLA (2013)Bayesian Spatial Modelling withR-INLA (2015)STATISTICS FOR SPATIAL DATA (1992)Improving the performance of predictive process modeling for large datasets (2008)Elicitation of Personal Probabilities and Expectations (1971)Comparing Predictive Accuracy (1994)Probabilistic Forecasts, Calibration and Sharpness (2007)Making and Evaluating Point Forecasts (2011)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Statistics for Spatial Data. (1993)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Fractional Brownian Motions, Fractional Noises and Applications (1968)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)Spatial Panel Econometrics (2008)SPATIAL AUTOCORRELATION AND AUTOREGRESSIVE MODELS IN ECOLOGY (2002)Spatial analysis a guide for ecologists (2005)Multivariable geostatistics in S: the gstat package (2004)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Towards an integrated computational tool for spatial analysis in macroecology and biogeography (2006)Thirty years of spatial econometrics (2010)
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References

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  • 1998

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A process-convolution approach to modelling temperatures in the North Atlantic Ocean
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