The intra-link error probability can be estimated and further utilized in the joint decoding process at the destination node, by utilizing a log-likelihood ratio (LLR) updating function [6].
Similarly to [37], this is achieved by utilizing a probabilistic sampling technique, which selects points based on their likelihoods computed from a specific weight function.
Statistical testing of possible restructuring and suddenness interaction effects on reaction time, i.e. time to generate solution, was performed by utilizing a linear mixed-effects model [function lme from package nlme in R] which was estimated by Restricted (or Residual) Maximum Likelihood [88], [89], [90], [91].
By utilizing a new source of data, the 2012 Australian Public Service Commission data (n = 21,093), this paper is able to overcome these data constraints and provides one of the first studies focusing on the likelihood of innovative activity in the public sector.
Our methodology provides maximization of log-likelihood function to identify the most likely λ (x, y, z ) by utilizing an iterative maximization algorithm.
However, by utilizing an integrative approach, this problem is minimized.
Each method utilizes a likelihood component that describes the probability that a set of mutations occurs between two pathogen samples from different hosts, given their epidemiological relationship.
In specific, we propose an event prediction scheme to predict an event from collected sensory data by utilizing the maximum likelihood estimation.
Then, Kaoru et al. propose an event prediction scheme to predict an event from collected sensory data by utilizing the maximum likelihood estimation.
First, as a reference structure for neutrality calculation, SEN utilizes a consensus structure determined from an alignment of putative homologous sequences rather than an MFE structure, increasing the likelihood of utilizing a biologically relevant reference.
MQLS utilizes a quasi-likelihood score test approach developed by Thornton and McPeek [25] that treats the data as a case-control analysis consisting of related and unrelated individuals.
