1 code implementation • CVPR 2023 • Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler
With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.
1 code implementation • 23 Nov 2022 • Nikolai Kalischek, Rodrigo C. Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler
With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.
no code implementations • 6 Jan 2021 • Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
It relies on a penalized maximum likelihood estimation (PMLE) and allows variable selection both with respect to fixed effects and Gaussian process random effects.
Variable Selection Methodology
no code implementations • 20 Nov 2019 • Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer
The R package abn is designed to fit additive Bayesian models to observational datasets.
no code implementations • 18 Feb 2019 • Gilles Kratzer, Reinhard Furrer
Unfortunately, they essentially all rely on very crude decisions that result in too simplistic approaches for such complex systems.
no code implementations • 18 Sep 2018 • Gilles Kratzer, Reinhard Furrer, Marta Pittavino
The second prior belongs to the Student's t-distribution, specifically designed for logistic regressions and, finally, the strongly informative prior is again Gaussian with mean equal to true parameter value and a small variance.
no code implementations • 3 Aug 2018 • Gilles Kratzer, Reinhard Furrer
Bayesian network modelling is a well adapted approach to study messy and highly correlated datasets which are very common in, e. g., systems epidemiology.
no code implementations • 30 Apr 2018 • Florian Gerber, Reinhard Furrer
The R package optimParallel provides a parallel version of the gradient-based optimization methods of optim().
Computation
no code implementations • 19 Apr 2018 • Gilles Kratzer, Reinhard Furrer
This article describes the R package varrank.