3 papers
stat.CO2026
Multiproposal Elliptical Slice Sampling
Guillermina Senn, Nathan Glatt-Holtz, Giulia Carigi +2
We introduce Multiproposal Elliptical Slice Sampling, a self-tuning multiproposal Markov chain Monte Carlo method for Bayesian inference with Gaussian priors. Our method generalize…
stat.CO2026
Bayesian Semi-Blind Deconvolution at Scale
Guillermina Senn, HÃ¥kon Tjelmeland, Nathan Glatt-Holtz +2
Blind image deconvolution refers to the problem of simultaneously estimating the blur kernel and the true image from a set of observations when both the blur kernel and the true im…
stat.ME2026
Sparsifying transform priors in Gaussian graphical models
Marcus Gehrmann, HÃ¥kon Tjelmeland
Bayesian methods constitute a popular approach for estimating the conditional independence structure in Gaussian graphical models, since they can quantify the uncertainty through t…