Fabio Sigrist

发表

spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process

Fabio Sigrist, Hans R. Künsch, Werner A. Stahel, 2015 .

A dynamic nonstationary spatio-temporal model for short term prediction of precipitation

Fabio Sigrist, Werner A. Stahel, Hans R. Kunsch, 2011, 1102.4210.

A Dynamic Spatio-temporal Precipitation Model

Fabio Sigrist, Werner A. Stahel, W. Stahel, 2011 .

Gradient and Newton Boosting for Classification and Regression pdf

Fabio Sigrist, Fabio Sigrist, 2018, Expert Syst. Appl..

Grabit: Gradient tree-boosted Tobit models for default prediction

Fabio Sigrist, Christoph Hirnschall, Fabio Sigrist, 2017, Journal of Banking & Finance.

An SPDE Based Spatio-temporal Model for Large Data Sets with an Application to Postprocessing Precipitation Forecasts

Fabio Sigrist, Hans R. Künsch, Werner A. Stahel, 2012 .

Gaussian Process Boosting pdf

Fabio Sigrist, Fabio Sigrist, 2020, J. Mach. Learn. Res..

KTBoost: Combined Kernel and Tree Boosting pdf

Fabio Sigrist, Fabio Sigrist, 2019, Neural Processing Letters.

Physics based dynamic modeling of space-time data

Fabio Sigrist, Fabio Sigrist, 2013 .

varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models

Fabio Sigrist, Reinhard Furrer, Jakob A. Dambon, 2021, 2106.02364.

Joint Variable Selection of both Fixed and Random Effects for Gaussian Process-based Spatially Varying Coefficient Models

Fabio Sigrist, Reinhard Furrer, Jakob A. Dambon, 2021 .

Latent Gaussian Model Boosting pdf

Fabio Sigrist, 2021, ArXiv.