Sentence examples for by multinomial sampling with from inspiring English sources

We assume non-overlapping generations and individuals reproduce by multinomial sampling with probability proportional to their fitness, as in a Wright-Fisher process.

The population in each generation was produced by multinomial sampling from the previous generation, with sampling probabilities being proportional to the difference in fitness of each lineage and the mean population fitness.

Each generation is generated by multinomial sampling, where the probability of choosing an allele of a given type (ancestral or derived) is weighted by its respective (marginal) fitness.

(i) The first step consists of generating the frequency paths (trajectories) of the selected allele in all demes by multinomial sampling in a Wright Fisher model for an arbitrary geographical structure.

We drew multinomial samples with different read coverages N ∈ {200, 2000, 20000} and applied our MCMC approach to obtain the marginal posterior fitness distributions shown in Figure 5.

We simulate this system until it reaches an equilibrium or stable oscillating behavior, and we generate sample sets of size N every M months with multinomial sampling, using e = 0.05.

For a data set with a given number of polymorphisms, S, we simulate neutral allele frequency distributions by generating multinomial samples that distribute these polymorphisms into 19 frequency bins using the "Multinomial" function in the R statistical package (http://www.r-project.org).org

The multinomial sampling distribution is given by 8 where the multinomial cell probabilities are given by 9 For Bayesian statistics, we wish to use all available information at the design stage but might prefer a more vague, less risky prior at the data analysis stage [ 23].

The standard deviations associated with the orbital trap distributions were estimated using multinomial sampling as before.

Here, sample genotype frequencies were drawn via multinomial sampling and tested for significant DHW.

The A-hypergeometric distribution is a class of discrete exponential families and appears as the conditional distribution of a multinomial sample from log-affine models.