Sentence examples for propose likelihood from inspiring English sources

To derive the a posteriori DSPP, we propose likelihood models for the DOA estimates under the hypotheses (mathcal {H}_{s}), (mathcal {H}_{i}), and (mathcal {H}_{v}).

The proposed likelihood function is used to construct the CUSUM score which is defined in Eq. (8).

Although rank ordering was our original approach, we have also employed a recently proposed likelihood ratio test combined with a fold-change cutoff to define sets of mis-regulated genes [20] (Table S1).

Gaining insight into bootstrapping clustered data for all these methods and draw comparison to our proposed likelihood based approach warrants serious investigation and is beyond the scope of this paper.

Analyses were also repeated with a recently proposed likelihood-based method that can take into account the whole family structures and conditions upon the observed affection status, as implemented in the LAMP program [14], [15].

Encouraged by the above performance evaluations, we applied the proposed likelihood-based binding prediction method to the 2K base pair upstream promoter regions of all 20397 mouse genes, where the genomic locations of the promoters are based on RefSeq gene annotations.

Using a recently proposed likelihood-based estimator (Gutenkunst et al. 2009) and taking advantage of our large consistently sampled polymorphism data sets in two closely related species of Drosophila, we estimate demographic models for D. miranda and D. pseudoobscura.

Utilizing a recently proposed likelihood-based demographic estimator, dadi (Gutenkunst et al. 2009), we estimate demographic models for both D. miranda and D. pseudoobscura, using our large and consistently sampled data set.

We estimate model parameters by maximum likelihood and propose two likelihood-ratio tests to characterize the relationship of the candidate SNP and the disease locus.

This paper proposes empirical likelihood based inference methods for causal effects identified from regression discontinuity designs.

Weight prediction in the multiplex network is based on the scoring of proposed multiplex likelihood assignment method.