Sentence examples for likelihood schemes from inspiring English sources

A Monte Carlo simulation is used to obtain the statistical properties of the Weibull parameters estimated by the linear regression, weighted linear regression and maximum likelihood schemes, respectively.

In ∂a∂i, the composite likelihood scheme was used (Gutenkunst et al., 2009).

A maximum likelihood scheme is used to select the appropriate noise codebook for each short-time frame.

The proposed technique improves the performance of optimum multibit watermark decoding, based on the maximum likelihood scheme and the statistical properties of the host data.

It should be noted that if dG1−4 - dG18−19 had the same explanatory power as the features dG1−4 and dG18−19, it would have shown up in the initial set-up instead, as the penalized likelihood scheme employed favours models with smaller number of features.

Quince et al. [16] showed that reinterpreting pyrosequencing flowgrams via a maximum-likelihood scheme can lead to fewer OTUs.

LDHat uses a composite-likelihood scheme, where population-scaled recombination rates are estimated between each pair of consecutive SNPs.

This gives an efficient, maximum-likelihood scheme for estimating model parameters and comparing models from arbitrarily many sequence blocks.

A composite-likelihood scheme is used to approximate the probability of the data given the null, P(Data | H0), to the probability of the data given the alternative, P(Data | HA), on the basis of the site-frequency spectrum of mutations.

EM algorithm is a kind of the maximum likelihood estimation schemes that calculates local optimum parameters of a stochastic model based on given initial parameters.

Since models selected this way are generally suboptimal in terms of prediction, likelihood penalization schemes are common practice.