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Adaptive Gaussian predictive process models for large spatial datasets
16 references·1 citing·26 second hop
Adaptive Gaussian predictive process models for large spatial datasets (2011)Adaptive Gaussian predictive process mode…Statistical Methods for Spatial Data Analysis (2017)Statistical Methods for Spati…Hierarchical Modeling and Analysis for Spatial Data (2014)Hierarchical Modeling and Ana…Bayesian geostatistical modelling with informative sampling locations (2011)Bayesian geostatistical model…Geostatistical Inference Under Preferential Sampling (2010)Geostatistical Inference Unde…Improving the performance of predictive process modeling for large datasets (2008)Improving the performance of …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…A modeling approach for large spatial datasets (2008)A modeling approach for large…Covariance Tapering for Interpolation of Large Spatial Datasets (2006)Covariance Tapering for Inter…Bayesian Geostatistical Design (2005)Bayesian Geostatistical DesignStatistical Methods for Spatial Data Analysis (2004)Statistical Methods for Spati…Spatial sampling design for parameter estimation of the covariance function (2004)Spatial sampling design for p…Hierarchical Modeling and Analysis for Spatial Data (2003)Hierarchical Modeling and Ana…Space and Space-Time Modeling using Process Convolutions (2002)Space and Space-Time Modeling…An algorithm for the construction of spatial coverage designs with implementation in SPLUS (1998)An algorithm for the construc…Statistics for Spatial Data (1993)Statistics for Spatial DataBayesian dynamic modeling for large space-time datasets using Gaussian predictive processes (2011)Bayesian dynamic modeling for…Statistics for Spatial Data, Revised Edition. (1994)Model-Based Geostatistics (1998)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Bayesian Spatial Modelling withR-INLA (2015)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)STATISTICS FOR SPATIAL DATA (1992)Interpolation of Spatial Data (1999)Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes (2005)Adaptive Design and Analysis of Supercomputer Experiments (2009)Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models (2012)Statistics for Spatial Data. (1993)Limitations on low rank approximations for covariance matrices of spatial data (2013)spBayesfor Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models (2015)A bibliometric approach to tracking big data research trends (2017)Geostatistics: Modeling Spatial Uncertainty (2000)Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets (2008)Gaussian Markov Random Fields (2005)Fitting complex ecological point process models with integrated nested Laplace approximation (2013)Spatio-temporal modeling of particulate matter concentration through the SPDE approach (2012)Spatial Panel Econometrics (2008)Multivariable geostatistics in S: the gstat package (2004)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Refugees and the Spread of Civil War (2006)SAM: a comprehensive application for Spatial Analysis in Macroecology (2010)Comparing implementations of global and local indicators of spatial association (2018)Thirty years of spatial econometrics (2010)
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  • 2011

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Bayesian geostatistical modelling with informative sampling locations
85 cited

Cited by

  • 2011Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes53 cited