Joint determination of topology, divergence time, and immigration in population trees

By MARK A. Beaumont. 2008

182 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/90b0ffed82af0628c315a750412c91f529a103cc

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Citations in the corpus

Non-linear regression models for Approximate Bayesian Computation (2008, methodology): “Beaumont (2007) proposed to estimate the posterior probability of each candidate model by an approach based on a weighted multinomial logistic regression procedure.”
Reliable ABC model choice via random forests (2014, methodology): “…competes with both local classifiers commonly implemented within ABC: It provides a more non-parametric modelling than local logistic regression (Beaumont, 2008), which is implemented in the DIYABC software (Cornuet et al., 2014) but is extremely costly—see the method of Estoup et al. (2012) to…”
Phylogeography's past, present, and future: 10 years after Avise, 2000. (2010, methodology): “While such simulation testing of NCPA has provoked debate (Beaumont, 2008b; Garrick et al., 2008; Knowles, 2008; Templeton, 2004, 2009a,b), it is also a sign that the field is becoming a more statistically rigorous endeavor and that empiricists are coming to recognize that equating genealogical…”
abc: an R package for approximate Bayesian computation (ABC) (2011, methodology): “In these two approaches, the model indicator is treated as the response variable of a polychotomous regression, where the summary statistics are the independent variables (Beaumont 2008).”
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation (2008, methodology): “A second approach pioneered by Beaumont (2003) consists in combining MCMC exploration of the scenario parameter space with an importance sampling (IS)-based estimation of the likelihood.”
Approximate Bayesian Computation in Evolution and Ecology (2010, methodology): “With these additional steps they are able to demonstrate enhanced accuracy in comparison with the original method of Beaumont et al. (2002). An additional difficulty with regression-ABC, discussed in Beaumont et al.”