most citedMaximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction

44 citations · 44 across the 3 of their papers we have counts for

collaborators
Showing stat.COShow all

1 paper · 1 filter

stat.CO2021

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…