Sentence examples for using a likelihood function from inspiring English sources

ML bit synchronization is the process of detecting bit boundary locations using a likelihood function.

Following a sequential importance sampling (SIS) [14] approach, the particles may be drawn recursively from the coupled prior statistical model for target motion and aspect, while their respective weights may be updated recursively using a likelihood function that takes into account the models for the target's signature and for the background clutter.

A set cover of the maximal sibgroups is then selected using a likelihood function.

QTLs were mapped in the diallel progeny using a likelihood function to assess the phenotype effect conditional on genotypic variation.

Robust fitting was also used in the prediction phase so that each test gene was fitted using a likelihood function in which the variance parameter was the sum of a fixed preprocessing noise variance and an adaptive variance.

The expected probability of TB occurrence in Ciudad Real, under the null hypothesis of being homogenously distributed throughout the province, was computed using Monte Carlo simulation and significance (p-value < 0.05) of the candidate clusters was tested using a likelihood function [ 30].

We propose to use a likelihood function that provides an information about the independence of the processed sample, and we are seeing later that this approach is close to a constant false alarm rate detector, when its main advantage relies on the fact that it does not need to set a threshold value to the detector.

This method [20] is based on a physical layer sensing: Considering that the medium is free when only noise is observed and occupied when signal plus noise samples are observed (data frame), we use a likelihood function that can distinguish the signal plus noise samples from the one corresponding to noise only.

We initialized the model in 1961, assumed the prevalence of TB infection in different age groups following a logistic distribution (Text S1 and Figure S2), and used a likelihood function based on a negative binomial distribution to fit the model to age-specific annual TB notification rates from 1968 through 2003.

Both of these programs use a likelihood function and simulated annealing to find an optimal sibling structure for a population.

Multiple hot/cold spots would seem to be problematic when using the scan statistic, since it uses a likelihood function from a model based on a single hot or cold spot only.