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20172025
most citedA Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables

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

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Showing 2021 · stat.MEShow all

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stat.ME2021

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…