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Such likelihood can be maximized using an alternating optimization method.
Nevertheless, even if such likelihood model can be defined, its evaluation may be very computationally inefficient.
In this article we describe a series of test cases designed to check if software designed to calculate such likelihood ratios computes them correctly.
On the other hand, model casting, i.e. impression and settling of casts may hide potentially errors, and such likelihood should not be underestimated [23].
When a distribution becomes more bell-shaped-like or more symmetric (even if it is not bell-shaped), the Ueda's method is less likely to detect outliers and such likelihood is coupled with an increase in sample size.
Actually, such likelihood is often associated with the interaction strengths.
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Such likelihoods are completely objective.
Resilience engineering (RE) is a new systems engineering design approach that takes into consideration such likelihoods and provides ways of generating prevention schemas before perturbations turn into system failures.
For example, the probability of a catastrophic flood or an asteroid colliding with Earth might be small, but the consequences could be devastating, which makes it important for researchers to figure out such likelihoods.
From a theoretical point of view, such likelihood-based strategy permits full use of the data, relying explicitly on a model rather than opting for the identification of outliers based on an empirical or simulated distribution of summary statistics [7] [9].
Indeed, if such likelihoods were used from read alignments (Tophat unfortunately does not produce such scores), a unified model allowing either our current k-mer based model or alignments could be used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com