Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Denison, D. and Holmes, C. (2001) “Bayesian Partitioning for Estimating Disease Risk”, Biometrics, 57(1), pp. 143–149.

HOWARD, S., DONNELLY, C. and CHAN, M.-S. (2001) “Methods for estimation of associations between multiple species parasite infections”, Parasitology, 122(2), pp. 233–251.

Roberts, S., Holmes, C. and Denison, D. (2001) “Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo”, in Lecture Notes in Computer Science. Springer Nature, pp. 103–110.

Roberts, S., Holmes, C. and Denison, D. (2001) “Minimum-entropy data clustering using reversible jump Markov Chain Monte Carlo”, in ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS, pp. 103–110.

Roberts, S., Holmes, C. and Denison, D. (2001) “Minimum-entropy data partitioning using reversible jump Markov chain Monte Carlo”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(8), pp. 909–914.

Holmes, C. and Mallick, B. (2001) “Bayesian regression with multivariate linear splines”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 63(1), pp. 3–17.

Hagenaars, T. et al. (2001) “The transmission dynamics of scrapie: analysis using mathematical models.”, in Proceedings of a meeting held at the . on the., pp. 211–218.

Hagenaars, T. et al. (2000) “The transmission dynamics of the aetiological agent of scrapie in a sheep flock”, Mathematical Biosciences, 168(2), pp. 117–135.

Donnelly, C. (2000) “Likely size of the French BSE epidemic”, Nature, 408(6814), pp. 787–788.