Here are some papers relating to statistical applications. I also do some statistical consulting work.
Tarasov, L., Dykeb, A. S., Neal, R. M., and Peltier, W. R. (2011) ``A data-calibrated distribution of deglacial chronologies for the North American ice complex from glaciological modeling'', Earth and Planetary Science Letters, available online, 5 October 2011, doi:10.1016/j.epsl.2011.09.010.
Sun, S., Greenwood, C. M. T., and Neal, R. M. (2007) ``Haplotype inference using a Bayesian hidden Markov model'', Genetic Epidemiology, vol. 31, pp. 937-948: abstract.
Listgarten, J., Neal, R. M., Roweis, S. T., Wong, P., and Emili, A. (2007) ``Difference detection in LC-MS data for protein biomarker discovery'', Bioinformatics, vol. 23, pp. e198-e204.
Shahbaba, B. and Neal, R. M. (2006) ``Gene function classification using Bayesian models with hierarchy-based priors'', Technical Report No. 0606, Dept. of Statistics, 14 pages: abstract, postscript, pdf, associated references.
Shahbaba, B. and Neal, R. M. (2005) ``Improving classification when a class hierarchy is available using a hierarchy-based prior'', Technical Report No. 0510, Dept. of Statistics, 11 pages: abstract, postscript, pdf.
Listgarten, J., Neal, R. M., Roweis, S. T., and Emili, A. (2005) ``Multiple alignment of continuous time series'', in L. K. Saul, et al (editors), Advances in Neural Information Processing Systems 17 (aka NIPS*2004), MIT Press, 8 pages: abstract, postscript, pdf.
Neal, R. M., Beal, M. J., and Roweis, S. T. (2004) ``Inferring state sequences for non-linear systems with embedded hidden Markov models'', in S. Thrun, et al (editors), Advances in Neural Information Processing Systems 16 (aka NIPS*2003), MIT Press, 8 pages: abstract, postscript, pdf, associated reference.