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Space and Space-Time Modeling using Process Convolutions · Study

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ChapterSpace and Space-Time Modeling using Process Convolutions

Dave Higdon2002

Chapter2002

Space and Space-Time Modeling using Process Convolutions

405 citations·0/0 files stored·Springer eBooks

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Spatial and Panel Data Analysis Soil Geostatistics and Mapping Point processes and geometric inequalities

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References

1992STATISTICS FOR SPATIAL DATA 1971Recovery of Inter-Block Information when Block Sizes are Unequal 1999Interpolation of Spatial Data 2000Interpolation of Spatial Data: Some Theory for Kriging 1994Statistics for Spatial Data 1992Nonparametric Estimation of Nonstationary Spatial Covariance Structure 1986Spatial Variation 1998A process-convolution approach to modelling temperatures in the North Atlantic Ocean

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2012Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models 2009Adaptive Design and Analysis of Supercomputer Experiments 2005Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes 2012Bayesian optimisation for Intelligent Environmental Monitoring 2016A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes 2016The basis function approach for modeling autocorrelation in ecological data

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Year2002

Typechapter

Published2002-01-01

VenueSpringer eBooks

Languageen

Citations405

Files0 public / 0

ShelfSpatial and Panel Data Analysis

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doi10.1007/978-1-4471-0657-9_2

openalex_workW1534349507

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2017PrevMap: An R Package for Prevalence Mapping

2007Multivariate Spatial Modeling for Geostatistical Data Using Convolved Covariance Functions