132 citations · 343 across the 32 of their papers we have counts for
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Comparison between Suitable Priors for Additive Bayesian Networks
Gilles Kratzer, Reinhard Furrer, Marta Pittavino
Additive Bayesian networks are types of graphical models that extend the usual Bayesian generalized linear model to multiple dependent variables through the factorisation of the jo…
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology
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. A popular approach to lear…
optimParallel: an R Package Providing Parallel Versions of the Gradient-Based Optimization Methods of optim()
Florian Gerber, Reinhard Furrer
The R package optimParallel provides a parallel version of the gradient-based optimization methods of optim(). The main function of the package is optimParallel(), which has the sa…
varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets
Gilles Kratzer, Reinhard Furrer
This article describes the R package varrank. It has a flexible implementation of heuristic approaches which perform variable ranking based on mutual information. The package is pa…
EggCounts: a Bayesian hierarchical toolkit to model faecal egg count reductions
Craig Wang, Reinhard Furrer
This is a vignette for the R package eggCounts version 2.0. The package implements a suite of Bayesian hierarchical models dealing with faecal egg count reductions. The models are…