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.

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.

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 Clustering Using Reversible Jump Markov Chain Monte Carlo”, in Lecture Notes in Computer Science. Springer Nature, pp. 103–110.

Gonser, R. et al. (2000) “Microsatellite Mutations and Inferences About Human Demography”, Genetics, 154(4), pp. 1793–1807.

Holmes, C. and Mallick, B. (2000) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks and Learning Systems, 11(1), pp. 27–35.

Holmes, C. and Denison, D. (1999) “Bayesian wavelet analysis with a model complexity prior”, in BAYESIAN STATISTICS 6, pp. 769–776.

Holmes, C. and Mallick, B. (1998) “Bayesian Radial Basis Functions of Variable Dimension”, Neural Computation, 10(5), pp. 1217–1233.

Ormrod, D., Holmes, C. and Miller, T. (1998) “Dietary chitosan inhibits hypercholesterolaemia and atherogenesis in the apolipoprotein E-deficient mouse model of atherosclerosis”, Atherosclerosis, 138(2), pp. 329–334.

Webster, R. et al. (1998) “Model-based geostatistics - Discussion”, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 47, pp. 326–350.

Holmes, C. and Mallick, B. (no date) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks, 11(1), pp. 27–35.