Sentence examples for existing likelihood from inspiring English sources

The existing likelihood methods are computationally intensive and unable to handle the case when the underlying N e is large.

We extend the existing likelihood based inference for two-stage and multiple stage trials [ 8– 12] to our setting for construction of p-values and confidence intervals.

The existing likelihood surface based on a 10 × 10 × 10 grid required approximately three thousand CPU hours to calculate on a fast distributed-computing system.

Our experiments show that despite being a heuristic, the algorithm competes in accuracy with existing likelihood-based algorithms, but is thousands of times faster in practice.

This method extends existing likelihood-based approaches for detecting adaptive evolution of protein-coding sequences to recombinant sequences by allowing the genealogy to vary across the alignment while sharing the parameters of the codon substitution model between tracts [ 64, 65].

Using Monte Carlo simulation, performance of the proposed estimator is studied and comprehensively compared to the existing maximum likelihood estimators for simple step and linear trend changes.

An attempt in this direction is made in the form of application of existing maximum likelihood linear regression (MLLR) adaptation which has been primarily used to model the differences due to changes in environment or non nativeness of speakers.

Herein we will derive a CPF for clock phase offset estimation assuming a general unknown distribution of network delays and then compare the CPF and existing maximum likelihood clock offset estimators that were derived for Gaussian (GML) and exponential (EML) delay models.

We found the accuracy of the new method to be good and comparable to existing Maximum Likelihood (ML) approaches.

We also compare the performance of PhyClass with the most accurate existing Maximum Likelihood based placement program, EPA [ 15].

Mutational mapping also records the timings of mutations across the tree, which we have used in calculating evolutionary rates, whereas existing maximum likelihood methods do not.