39 citations · 261 across the 46 of their papers we have counts for
5 papers · 2 filters
Credible rectangles for high-dimensional posterior comparison
Alice Chevaux, Julyan Arbel, Guillaume Kon Kam King +1
We propose a Bayesian framework for uncertainty quantification and comparison in brain connectivity graph analysis. Standard graph-based approaches typically rely on point estimate…
Empowering Bayes with sources of uncertainty: from confidence modelling to sparse estimation
Rafael Mouallem Rosa, Julyan Arbel, Hien Duy Nguyen
We introduce sources of uncertainty (SoU) inference, a general framework that extends Bayesian inference by allowing researchers to explicitly encode heterogeneous confidence acros…
Prior elicitation for Bayesian estimation of single-subject connectivity networks
Yiye Jiang, Alice Chevaux, Wendy Meiring +4
Inference of brain functional connectivity networks from resting-state fMRI data is a key focus in neuroimaging. This paper introduces new Bayesian approaches for inferring a funct…
A variational framework for modal estimation
Tâm LeMinh, Julyan Arbel, Florence Forbes +1
Multivariate mode estimation arises in many statistical problems such as inverse problems, multimodal sampling, and density-based clustering, but becomes challenging in moderate to…
Species Sensitivity Distribution revisited: a Bayesian nonparametric approach
Louise Alamichel, Julyan Arbel, Guillaume Kon Kam King +1
We present a novel approach to ecological risk assessment by recasting the Species Sensitivity Distribution (SSD) method within a Bayesian nonparametric (BNP) framework. Widely man…