A. Hubin and G Storvik (2018): Mode jumping MCMC for Bayesian variable selection in GLMM, Computational Statistics & Data Analysis, 2018 - Elsevier
A. Hubin, G Storvik and F Frommelt (2018): Deep Bayesian regression models,
I. Grytten, KD Rand, AJ NEderbragt, G Storvik, IK Glad, GK Sandve (2018) [PDF] biorxiv.org Graph Peak Caller: calling ChIP-Seq Peaks on Graph-based Reference Genomes
Knut D. Rand, Ivar Grytten, Alexander J. Nederbragt, Geir O. Storvik, Ingrid K. Glad 1 and Geir
K. Sandve: Coordinates and Intervals in Graph-based Reference Genomes. Accepted for publication in BMC Bioinformatics
A Hubin and G Storvik: Efficient mode jumping MCMC for Bayesian variable selection in GLMM. Submitted for publication. Available at arxiv
A Hubin and G Storvik: Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA). Available at arxiv
Aliaksandr Hubin, Geir Storvik, Florian Frommlet A novel algorithmic approach to Bayesian Logic Regression, Avalable at arxiv