Chris Holmes
Chris Holmes
Professor of Biostatistics
Fellow of of Lincoln College
cholmes at stats.ox.ac.uk
+44 (0)1865 285368 (Direct)
+44 (0)1865 272865 (Department)
+44 (0)1865 272595 (Fax)
+44 (0)1865 285386 (PA - Madeline Mitchell)
Research interests
Bayesian Statistics; Stochastic Simulation; Markov chain Monte Carlo; Pattern Recognition; Spatial Statistics; Statistical Genetics; Statistical Genomics; Genetic Epidemiology
About my research
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
Biographical sketch
I moved to Oxford from Imperial College London in February 2004. At Imperial College I studied for my doctorate in Bayesian statistics, investigating novel nonlinear pattern recognition methods. This was followed by a post-doctoral position and then a lectureship at Imperial. Previous to this I worked in industry for a number of years researching in scientific computing, developing techniques for real-time pattern recognition models in defence and SCADA (Supervisory Control and Data Acquisition) systems. My current research is focussed on applications and statistical methods development in the genomic sciences and genetic epidemiology. I hold a programme leaders grant in Statistical Genomics from the Medical Research Council.
Selected publications
Pintore, A., Speckman, P. and Holmes, C.C. (2006) Spatially adaptive smoothing splines. Biometrika , 96, 1, pp 113-125
Holmes, C.C. and Held, K. (2004) Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1, pp 145-168.
Heard N., Holmes C.C., Stephens D.A., Hand D.J., and Dimopoulos G. (2005) A Bayesian co-clustering of Anopheles gene expression time series responses to multiple immune challenges. Proceedings of the National Academy of Sciences, 102, 16939-16944.
A. Jasra, C. C. Holmes and D. A. Stephens (2005). Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling, Statistical Science,2005, Vol. 20, No. 1, 50–67
Holmes, C. and Adams, N. (2003) Likelihood inference in nearest-neighbour classification models Biometrika, 90: 99-112
List of publications
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