25 citations · 94 across the 21 of their papers we have counts for
4 papers · 1 filter
Subsampling MCMC for Bayesian Variable Selection and Model Averaging in BGNLM
Jon Lachmann, Aliaksandr Hubin
Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible nonlinear alternative to GLM while still providing better interpretability than machine learning techniques such as n…
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…
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…
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…