Sentence examples for develop a likelihood from inspiring English sources
Here we develop a likelihood ratio test method to identify such regions.
Osada and Wu (2005; see also Zhou et al. 2007) explored this idea to develop a likelihood ratio test (LRT) of the null hypothesis that τ is constant between two kinds of loci against the alternative that τ is variable.
In another work, Zou et al. (2006) developed a likelihood ratio statistic to estimate a step-change point in the parameters of a simple linear profile in Phase I.
We have developed a likelihood method for estimating selection intensity and allele age from haplotype structure of multilocus SNPs closely linked to a selected mutant.
We developed a likelihood framework to infer genotypes from AFLP phenotypes and explicitely accounted for pedigree information and various sources of experimental errors (Additional file 2).
To account for all three sources of genotype miscalling, we developed a likelihood model and utilized a parcimony algorithm to search for the matrix of genotypes with the highest likelihood at every given AFLP locus.
Method 1 proposed in the present study uses information from the conditional probability distribution of genotypes at the disease locus given any genotype at the tested marker (Table 1), and develops a likelihood-based framework to infer the LD parameter.
We developed a likelihood-based statistical approach to estimate the coefficient of linkage disequilibrium between a pair of polymorphic loci in a natural population and to test for significance of the disequilibrium by making use of the samples that are not randomly collected from the population.
Moreover, using stochastic geometry, we develop a generalized likelihood ratio test (GLRT) for the clustered-based fusion rule to handle the case of unknown intruder's parameters.
In addition, we also develop a maximum likelihood (ML) algorithm for radar cross section (RCS) parameter estimation and provide the Cramer-Rao lower bound (CRLB) to validate the theoretical result.
This study aims to develop a maximum likelihood regression tree-based model to predict subway incident delays, which are major negative impacts caused by subway incidents from the commuter's perspective.
