The rise of globalisation has led to a sharp increase in international t...
National governments use border information to efficiently manage the
bi...
Bayesian variable selection methods are powerful techniques for fitting ...
State-of-the-art causal discovery methods usually assume that the
observ...
We use new and established methodologies in multivariate time series ana...
Causal discovery aims to learn a causal graph from observational data. T...
Modern applications of Bayesian inference involve models that are
suffic...
In the context of a high-dimensional linear regression model, we propose...