Research
I have two primary research areas: statistical methods for parentage analysis, and methods for fitting/understanding high dimensional graphical models. Both utilize stochastic computation techniques.
Select Papers
Fitch, M. and B. Jones (2009) "Shortest Path analysis using Partial Correlations for classifying gene functions from gene expression data." Bioinformatics 25:42-47.
Jones, B., D. Walsh, L. Werner, and A. Fiumera (2009) "Using blocks of linked single nucleotide polymorphisms as highly polymorphic genetic markers for parentage analysis." Molecular Ecology Resources 9:487-497.
Jones, B, G. D. Grossman, D.C.I. Walsh, B. A. Porter, J. C. Avise and A. C. Fiumera (2007) "Estimating Differential Reproductive Success from Nests of Related Individuals, with Application to a Study of the Mottled Sculpin, Cottus bairdi." Genetics 176:2427-2439.
Jones, B., C. Carvalho, A. Dobra, C.Hans, C. Carter, and M. West (2005). "Experiments in Stochastic Computation for High Dimensional Graphical Models." Statistical Science 20:388-400. pdf errata
Jones, B, and M. West (2005) "Covariance Decomposition in Undirected Gaussian Graphical Models." Biometrika 92:779-786.
Jones, Beatrix (2003) "Balancing Population Size and Genetic Information in Parentage Analysis Studies" Biometrics, 59:694-700.
Jones, Beatrix and Andrew Clark (2003): "Bayesian Sperm Competition Estimates" Genetics 163:1193-1199
Jones, Beatrix (2003): "Maximum likelihood inference for seed and pollen dispersal distributions". Journal of Agricultural, Biological and Environmental Statistics 8:170-183.
Software
Software for estimating age group differences in mating success. (NEST)
Sperm Competition and Remating Estimates (SCARE)
Stochastic Computation for Gausian Graphical Models. Co-authored with Adrian Dobra, Carlos Carvalho, and Chris Hans, with supervision from Mike West. Sequential Metropolis Hastings and Parallel Stochastic Searches for decomposable and unrestricted graphical models.
© Beatrix Jones 2010-1-26