132 citations · 343 across the 32 of their papers we have counts for
4 papers · 1 filter
Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations
Reinhard Furrer, Michael Hediger
Given a zero-mean Gaussian random field with a covariance function that belongs to a parametric family of covariance functions, we introduce a new notion of likelihood approximatio…
Discussion on Competition for Spatial Statistics for Large Datasets
Roman Flury, Reinhard Furrer
We discuss the experiences and results of the AppStatUZH team's participation in the comprehensive and unbiased comparison of different spatial approximations conducted in the Comp…
varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
Gaussian processes (GPs) are well-known tools for modeling dependent data with applications in spatial statistics, time series analysis, or econometrics. In this article, we presen…
Joint Variable Selection of both Fixed and Random Effects for Gaussian Process-based Spatially Varying Coefficient Models
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
Spatially varying coefficient (SVC) models are a type of regression model for spatial data where covariate effects vary over space. If there are several covariates, a natural quest…