… Given observation y, repeat the following until M points have been … ϵ such that the proportion
of accepted points P ϵ =N/M. … The approach draws M∼π(μ) and estimates p(M=μ i |S(y)). …

Bayesian statistics allow scientists to easily incorporate prior knowledge into their data
analysis. Nonetheless, the sheer amount of computational power that is required for Bayesian …

A useful way of summarizing genetic variability among different populations is through
estimates of the inbreeding coefficient, F st . Several recent studies have tried to use the …

We propose a new method for approximate Bayesian statistical inference on the basis of
summary statistics. The method is suited to complex problems that arise in population genetics, …

Loci that show unusually low or high levels of genetic differentiation are often assumed to be
subject to natural selection. We propose a method for the identification of loci showing such …

… Forty-six of the 61 samples in which we detected vadinCA11 also contained M. smithii,
indicating that the two most dominant archaeal taxa are not mutually exclusive. Faith’s PD was …

… seven additional simulations based on the data set M-2L-05. … We first simulated a replicate
M-2L-05 data set, with parameter … m to obtain the required value of F in each subpopulation. …

Studies in mice and humans have revealed intriguing associations between host genetics
and the microbiome. Here we report a 16S rRNA-based analysis of the gut microbiome in …

… Histograms of the weighted samples of size M = 5 × 103 produced by five consecutive
uses of (1) on the first row and the population Monte Carlo version on the second row, for the …

… in the estimation of posterior distributions for parameters (Beaumont et al., 2002), we …
scenarios, termed hereafter the logistic approach (see also Beaumont, 2008; Fagundes et al., 2007)…