Sentence examples for inference implemented from inspiring English sources

Bayesian Inference implemented by Mr.Bayes v3.1.2 [33], and maximum-likelihood analyses were conducted to infer phylogenetic relationships to known ANTP families.

In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems.

Phylogenetic relationships were also estimated according to a Bayesian method of phylogenetic inference implemented by MrBayes v3.1.2 [62].

Lastly, the Bayesian inference implemented in omegaMap provides a perfect framework for testing whether omega values are significantly different in sympatry vs. allopatry.

Phylogenetic analysis was performed separately upon the rRNA and RPB1 alignments using maximum likelihood, implemented in PAUP* 4b10 [ 77] and Bayesian inference, implemented in MrBayes [ 78].

Bayesian inference, implemented in MrBayes 3.2 [ 30], was used to estimate phylogenetic relationships among species of Cheirolophus based on individual analyses of the concatenate ITS + ETS (nrDNA) dataset and the concatenate four-plastid marker (cpDNA) dataset (each with 60 sequences: 57 Cheirolophus samples plus three outgroup taxa).

Phylogenetic relationships among cytb haplotypes were inferred using Bayesian inference as implemented in Mrbayes v3.1.2 [ 43, 44].

The same alignment was used to infer a phylogeny using Bayesian Inference as implemented in MrBayes 3.2 [ 35].

Maximum likelihood inference was implemented in GARLI v.0.942 (Genetic Algorithm for Rapid Likelihood Inference) [56] also sampling 2×106 generations for multiple runs to ensure similar trees and lnL scores.

Morphological-DNA phylogenies were inferred using Bayesian methods coupled with Markov chain Monte Carlo (BMCMC) inference, as implemented in MrBayes v3.04b [ 80].

Bayesian estimation and inference are implemented using the Winbugs package via Markov chain Monte Carlo (MCMC) methods (Lunn et al. 2009).