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Space and Space-Time Modeling using Process Convolutions
8 references·16 citing·37 second hop
Space and Space-Time Modeling using Process Convolutions (2002)Space and Space-Time Modeling using Proce…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Interpolation of Spatial Data (1999)Interpolation of Spatial DataA process-convolution approach to modelling temperatures in the North Atlantic Ocean (1998)A process-convolution approac…Statistics for Spatial Data (1994)Statistics for Spatial DataSTATISTICS FOR SPATIAL DATA (1992)STATISTICS FOR SPATIAL DATANonparametric Estimation of Nonstationary Spatial Covariance Structure (1992)Nonparametric Estimation of N…Spatial Variation (1986)Spatial VariationRecovery of Inter-Block Information when Block Sizes are Unequal (1971)Recovery of Inter-Block Infor…Modeling multivariate profiles using Gaussian process-controlled B-splines (2020)Modeling multivariate profile…Fifty Years of Kriging (2018)Fifty Years of KrigingPrevMap: An R Package for Prevalence Mapping (2017)PrevMap: An R Package for Pre…The basis function approach for modeling autocorrelation in ecological data (2016)The basis function approach f…A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes (2016)A Multiresolution Stochastic …Multivariate versus univariate Kriging metamodels for multi-response simulation models (2014)Multivariate versus univariat…Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models (2012)Dimension Reduction and Allev…Bayesian optimisation for Intelligent Environmental Monitoring (2012)Bayesian optimisation for Int…Bayesian hierarchical spatio‐temporal smoothing for very large datasets (2012)Bayesian hierarchical spatio‐…Bayesian geostatistical modelling with informative sampling locations (2011)Bayesian geostatistical model…A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure (2010)A Class of Convolution-Based …Adaptive Design and Analysis of Supercomputer Experiments (2009)Adaptive Design and Analysis …A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters (2009)A multi-resolution, non-param…Multivariate Spatial Modeling for Geostatistical Data Using Convolved Covariance Functions (2007)Multivariate Spatial Modeling…Dynamic factor process convolution models for multivariate space–time data with application to air quality assessment (2007)Dynamic factor process convol…Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes (2005)Analyzing Nonstationary Spati…An Introduction to Applied Geostatistics (1991)Journal of the American Statistical Association (1995)Nonstationary multivariate process modeling through spatially varying coregionalization (2004)Spatial statistical models that use flow and stream distance (2006)A Moving Average Approach for Spatial Statistical Models of Stream Networks (2010)Statistics for Spatial Data (1993)Statistics for Spatial Data. (1993)Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification (2015)Handbook of Spatial Epidemiology (2016)Spatial autoregressive models for statistical inference from ecological data (2017)Spatial Statistics (1981)Spatial statistics (1981)Fitting variogram models by weighted least squares (1985)Hierarchical Spatio-Temporal Mapping of Disease Rates (1997)Geostatistical Space–Time Models: A Review (1999)Nonseparable, Stationary Covariance Functions for Space–Time Data (2002)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Kriging metamodel with modified nugget-effect: The heteroscedastic variance case (2011)Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model (2016)Replication or Exploration? Sequential Design for Stochastic Simulation Experiments (2018)Fractional Brownian Motions, Fractional Noises and Applications (1968)Multivariable geostatistics in S: the gstat package (2004)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Model-Based Geostatistics (1998)Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. (2013)Local Indicators of Spatial Association—LISA (1995)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Spatial Panel Econometrics (2008)A Bayesian Analysis of Kriging (1993)Geostatistical Inference Under Preferential Sampling (2010)Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence (2000)Proper multivariate conditional autoregressive models for spatial data analysis (2003)Geostatistical Space-Time Models, Stationarity, Separability, and Full Symmetry (2006)
this work references cited by second hop

References

  • 1992STATISTICS FOR SPATIAL DATA9,140 cited
  • 1971Recovery of Inter-Block Information when Block Sizes are Unequal4,069 cited
  • 1999Interpolation of Spatial Data2,362 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 1994Statistics for Spatial Data853 cited
  • 1992Nonparametric Estimation of Nonstationary Spatial Covariance Structure780 cited
  • 1986Spatial Variation653 cited
  • 1998A process-convolution approach to modelling temperatures in the North Atlantic Ocean400 cited

Cited by

  • 2012Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models330 cited
  • 2009Adaptive Design and Analysis of Supercomputer Experiments239 cited
  • 2005Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes202 cited
  • 2012Bayesian optimisation for Intelligent Environmental Monitoring177 cited
  • 2016A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes152 cited
  • 2016The basis function approach for modeling autocorrelation in ecological data123 cited
  • 2017PrevMap: An R Package for Prevalence Mapping114 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2007Multivariate Spatial Modeling for Geostatistical Data Using Convolved Covariance Functions101 cited
  • 2012Bayesian hierarchical spatio‐temporal smoothing for very large datasets100 cited
  • 2018Fifty Years of Kriging94 cited
  • 2011Bayesian geostatistical modelling with informative sampling locations85 cited
  • 2010A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure83 cited
  • 2007Dynamic factor process convolution models for multivariate space–time data with application to air quality assessment77 cited
  • 2009A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters70 cited
  • 2014Multivariate versus univariate Kriging metamodels for multi-response simulation models62 cited
  • 2020Modeling multivariate profiles using Gaussian process-controlled B-splines27 cited