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A binary operator combining two likelihoods can be defined as (8).
The balance between the event priors and the acoustic model is adjusted using a weight in combining the two likelihoods when calculating the path cost through the model network.
with λ υ a single Gaussian distribution representing the global variance of the data υ(c) by a mean vector and a covariance matrix, and ω a constant determining the weight between the two likelihoods.
The EM algorithm: A closed-form solution for the EM algorithm has been derived to estimate the unknown parameters that maximize the two likelihoods of (26) [13].
Likelihoods and algorithms:With the above notation, we construct two likelihoods, one for haplotype frequencies (Θp) based on SNP data (S) and the other for quantitative genetic parameters (Θq) based on haplotype frequencies (Θp), phenotypic (y) and SNP data (S).
The likelihood of the gene trees is then estimated with ω fixed at 1 or ω free to vary, and the two likelihoods compared by a χ2 test [36].
Similar(35)
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.
For the case of allocating one redundancy to a series system with two exponential components, we establish two likelihood ratio order results for active redundancy case and standby redundancy case, respectively.
Figure 2 illustrates the combination of two likelihood values, A and B. The likelihood values are displayed on the axes.
The beamformers are followed by model-based likelihood calculations, using both the acoustic event model and the speech model, to obtain two likelihood ratios, whose combination gives a final score per array.
We used two likelihood ratio tests (LRTs) to test for positive selection.
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