47 citations · 81 across the 14 of their papers we have counts for
3 papers · 2 filters
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…