21 citations · 66 across the 14 of their papers we have counts for
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stat.CO2017★ 11 cited
A novel algorithmic approach to Bayesian Logic Regression
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic e…
stat.CO2016★ 17 cited
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)
Aliaksandr Hubin, Geir Storvik
The marginal likelihood is a well established model selection criterion in Bayesian statistics. It also allows to efficiently calculate the marginal posterior model probabilities t…
stat.CO2016★ 21 cited
Mode jumping MCMC for Bayesian variable selection in GLMM
Aliaksandr Hubin, Geir Storvik
Generalized linear mixed models (GLMM) are used for inference and prediction in a wide range of different applications providing a powerful scientific tool. An increasing number of…