73 citations · 185 across the 8 of their papers we have counts for
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cs.LG2020★ 1 cited
Gaussian Process Boosting
Fabio Sigrist
We introduce a novel way to combine boosting with Gaussian process and mixed effects models. This allows for relaxing, first, the zero or linearity assumption for the prior mean fu…
stat.ME2020★ 44 cited
Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
In regression models for spatial data, it is often assumed that the marginal effects of covariates on the response are constant over space. In practice, this assumption might often…