Publications (Computational Statistics and Machine Learning) | Department of Statistics

Publications

Lee, T. et al. (1999) “Development of a New Type of Protease Inhibitors, Efficacious against FIV and HIV Variants”, Journal of the American Chemical Society, 121(6), pp. 1145–1155.

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

Reinert, G. and Schbath, S. (1999) “Large compound Poisson approximations for occurrences of multiple words”, in Statistics in molecular biology and genetics. Institute of Mathematical Statistics, pp. 257–275.

Morris, G. et al. (1998) “Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function”, Journal of Computational Chemistry, 19(14), pp. 1639–1662.

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.

Reinert, G. (1998) “Couplings for normal approximations with Stein’s method”, in. American Mathematical Society, pp. 193–207.

Bacchus, F. and Teh, Y. (1998) “Making Forward Chaining Relevant”, in Proceedings of the 4th International Conference on Artificial Intelligence Planning Systems Aips 1998.

Reinert, G. and Schbath, S. (1998) “Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains”, Journal of Computational Biology, 5(2), pp. 223–253.

Rosin, C. et al. (1998) “Computational coevolution of antiviral drug resistance”, in ARTIFICIAL LIFE VI, pp. 81–90.