Oxford university logo and department of statistics logo

To Department of Statistics Site

 Menu

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 Adams, N. (2002) “A probabilistic nearest neighbour method for statistical pattern recognition”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 64(2), pp. 295–306.
Denison, D. et al. (2002) “Bayesian partition modelling”, in Computational Statistics & Data Analysis. Elsevier, pp. 475–485.
Holmes, C. and Denison, D. (2002) “Perfect Sampling for the Wavelet Reconstruction of Signals”, IEEE Transactions on Signal Processing, 50(2), pp. 337–344.
Ferreira, J., Denison, D. and Holmes, C. (2002) “Partition modelling”, in Spatial Cluster Modelling, pp. 125–145.
Balding, D. et al. (2002) “Discussion on the meeting on ’statistical modelling and analysis of genetic data’”, Journal of the Royal Statistical Society. Series B: Statistical Methodology, 64(4), pp. 737–775.
Balding, D. et al. (2002) “Discussion on the meeting on ’statistical modelling and analysis of genetic data’”, Journal of the Royal Statistical Society. Series B: Statistical Methodology, 64(4), pp. 737–775.
Holmes, C. (2002) “Probabilistic free-knots splines. Invited discussant on gSpline adaptation in extended linear models by Hansen M and Kooperberg C”, pp. 22–24.
Chipman, H. et al. (2002) “Spline adaptation in extended linear models - Comments and rejoinder”, STATISTICAL SCIENCE, 17(1), pp. 20–51.
Denison, D. and Holmes, C. (2001) “Bayesian Partitioning for Estimating Disease Risk”, Biometrics, 57(1), pp. 143–149.
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.