My main research areas are firmly within the realm of Bayesian statistics. I’m generally interested in models for dependent data, especially time series, spatial, and spatial temporal models, with a focus on applications to official statistics. Often the application is to find better ways to extract more information out of existing data products published by official statistical agencies. I also have an interest in Markov chain Monte Carlo methods, especially with application to the sort of models I’m interested in. But my typical MCMC strategy (and advice) is to use Stan whenever possible.

Published Papers

Posters and Presentations