 | 2011 |
| 9 |  | Ajay Jasra,
Christopher C. Holmes:
Stochastic boosting algorithms.
Statistics and Computing 21(3): 335-347 (2011) |
| 2010 |
| 8 |  | Taane G. Clark,
Susana G. Campino,
Elisa Anastasi,
Sarah Auburn,
Yik Y. Teo,
Kerrin S. Small,
Kirk A. Rockett,
Dominic Kwiatkowski,
Christopher C. Holmes:
A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals.
Bioinformatics 26(16): 1999-2003 (2010) |
| 2009 |
| 7 |  | Jochen W. Klingelhoefer,
Loukas Moutsianas,
Christopher C. Holmes:
Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency.
Bioinformatics 25(13): 1594-1601 (2009) |
| 6 |  | Alex Webb,
John M. Hancock,
Christopher C. Holmes:
Phylogenetic inference under recombination using Bayesian stochastic topology selection.
Bioinformatics 25(2): 197-203 (2009) |
| 5 |  | Shahzia Anjum,
Arnaud Doucet,
Christopher C. Holmes:
A boosting approach to structure learning of graphs with and without prior knowledge.
Bioinformatics 25(22): 2929-2936 (2009) |
| 2008 |
| 4 |  | Eleni Giannoulatou,
Christopher Yau,
Stefano Colella,
Jiannis Ragoussis,
Christopher C. Holmes:
GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population.
Bioinformatics 24(19): 2209-2214 (2008) |
| 3 |  | Ajay Jasra,
Arnaud Doucet,
David A. Stephens,
Christopher C. Holmes:
Interacting sequential Monte Carlo samplers for trans-dimensional simulation.
Computational Statistics & Data Analysis 52(4): 1765-1791 (2008) |
| 2007 |
| 2 |  | Ajay Jasra,
David A. Stephens,
Christopher C. Holmes:
On population-based simulation for static inference.
Statistics and Computing 17(3): 263-279 (2007) |
| 2000 |
| 1 |  | Christopher C. Holmes,
Bani K. Mallick:
Bayesian wavelet networks for nonparametric regression.
IEEE Trans. Neural Netw. Learning Syst. 11(1): 27-35 (2000) |