101 citations · 214 across the 17 of their papers we have counts for
8 papers · 1 filter
Automated calibration of consensus weighted distance-based clustering approaches using sharp
Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues +3
In consensus clustering, a clustering algorithm is used in combination with a subsampling procedure to detect stable clusters. Previous studies on both simulated and real data sugg…
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
Michael Komodromos, Eric Aboagye, Marina Evangelou +2
Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often e…
Automated calibration for stability selection in penalised regression and graphical models
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nost +2
Stability selection represents an attractive approach to identify sparse sets of features jointly associated with an outcome in high-dimensional contexts. We introduce an automated…
Bayesian Kernel Two-Sample Testing
Qinyi Zhang, Veit Wild, Sarah Filippi +2
In modern data analysis, nonparametric measures of discrepancies between random variables are particularly important. The subject is well-studied in the frequentist literature, whi…
A Bayesian nonparametric test for conditional independence
Onur Teymur, Sarah Filippi
This article introduces a Bayesian nonparametric method for quantifying the relative evidence in a dataset in favour of the dependence or independence of two variables conditional…
Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures
Sarah Filippi, Chris C. Holmes, Luis E. Nieto-Barajas
In this article we propose novel Bayesian nonparametric methods using Dirichlet Process Mixture (DPM) models for detecting pairwise dependence between random variables while accoun…