2 papers
stat.ME2022
Scalable Multiple Network Inference with the Joint Graphical Horseshoe
Camilla Lingjærde, Benjamin P. Fairfax, Sylvia Richardson +1
Network models are useful tools for modelling complex associations. If a Gaussian graphical model is assumed, conditional independence is determined by the non-zero entries of the…
stat.AP2018
A global-local approach for detecting hotspots in multiple-response regression
Hélène Ruffieux, Anthony C. Davison, Jörg Hager +4
We tackle modelling and inference for variable selection in regression problems with many predictors and many responses. We focus on detecting hotspots, i.e., predictors associated…