Building on a strong foundation of philosophy, theory, methods and computation over the
past three decades, Bayesian approaches are now an integral part of the toolkit for most …

We present new models and methods for the posterior drift problem where the regression
function in the target domain is modelled as a linear adjustment, on an appropriate scale, of …

The model-X conditional randomisation test (CRT) is a flexible and powerful testing
procedure for testing the hypothesis X⫫ Y∣ Z. However, it requires perfect knowledge of …

The aim of this article is to propose a novel method for estimating trans-ancestry genetic
correlations in genome-wide association studies (GWAS) using genetically predicted …

Family-based designs can eliminate confounding due to population substructure and can
distinguish direct from indirect genetic effects, but these designs are underpowered due to …

Model-X knockoffs and the conditional randomization test are methods that search for
conditional associations in large data sets, controlling the type-I errors if the joint distribution …

The main goal of transfer learning strategies is to enhance the efficiency of learning models
applied to target tasks by transferring knowledge from similar, yet distinct, source tasks …

Model transfer is the task of using information from source domains to improve inference on
a target domain with limited data. In real applications it is unclear when to transfer …