- Sequential Monte Carlo without likelihoodsS A Sisson
School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia
Proc Natl Acad Sci U S A 104:1760-5. 2007..Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis...
- Bayesian point estimation of quantitative trait lociS A Sisson
Department of Mathematics and Computer Science, University of Puerto Rico, Rio Piedras, Puerto Rico
Biometrics 60:60-8. 2004..We introduce a loss function for estimating both the number of QTL and their location, and we illustrate its application via simulated and real data...
- Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype dataMark M Tanaka
School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
Genetics 173:1511-20. 2006..I. 0.64, 1.82); and reproductive value 3.4 (95% C.I. 1.4, 79.7). These figures suggest a rapidly spreading epidemic, consistent with observations of the resurgence of tuberculosis in the United States in the 1980s and 1990s...