47 citations · 81 across the 14 of their papers we have counts for
16 papers
Discussion of Martingale Posterior Distributions
David Rossell
I briefly discuss the Martingale Posteriors Distributions paper by Edwing Hong, Chris Holmes and Stephen G. Walker
Graphical model inference with external network data
Jack Jewson, Li Li, Laura Battaglia +3
We consider two applications where we study how dependence structure between many variables is linked to external network data. We first study the interplay between social media co…
Specification analysis for technology use and teenager well-being: statistical validity and a Bayesian proposal
Christoph Semken, David Rossell
A key issue in science is assessing robustness to data analysis choices, while avoiding selective reporting and providing valid inference. Specification Curve Analysis is a tool in…
Inference for multiple treatment effects using confounder importance learning
Omiros Papaspiliopoulos, David Rossell, Miquel Torrens-i-Dinarès
We address modelling and computational issues for multiple treatment effect inference under many potential confounders. Our main contribution is providing a trade-off between preve…
General Bayesian Loss Function Selection and the use of Improper Models
Jack Jewson, David Rossell
Statisticians often face the choice between using probability models or a paradigm defined by minimising a loss function. Both approaches are useful and, if the loss can be re-cast…
Partial Correlation Graphical LASSO
Jack Storror Carter, David Rossell, Jim Q. Smith
Standard likelihood penalties to learn Gaussian graphical models are based on regularising the off-diagonal entries of the precision matrix. Such methods, and their Bayesian counte…