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The dataset was filtered based on posterior error probability to arrive at a false discovery rate below 1% estimated using a target-decoy approach86.
These posterior error distributions are very useful to compare ensembles, and provide risk-based misclassification cost estimates.
We also consider two problems in which exact solutions are not available, and use a posterior error estimates to assess the accuracy of the schemes.
Researchers commonly report the vector of pointwise posterior medians of the impulse responses as a measure of central tendency of the estimated response functions, along with pointwise 68% posterior error bands.
p(n) is posterior error covariance.
The posterior error of the model is: C = frac{{S_{1} }}{{S_{2} }}.
Similar(23)
By minimizing the weighted summation of the logarithmic transformation of posterior errors and taking the commutation error into consideration, the proposed algorithm not only reduces broadband, narrowband and impulse noise successfully, but also mixtures of them.
Real-world datasets and holdout samples are used to illustrate computation of posterior misclassification error distributions.
Using a series of observing system simulation experiments (OSSEs) we characterize the posterior flux error introduced by non-uniform atmospheric sampling by GOSAT.
The DIC measures posterior predictive error by penalizing the fit of a model (deviance) by its complexity, determined by the effective number of parameters.
In this paper, Bayesian modeling approach is used to compute posterior misclassification error density distributions for both binary and non-binary classifiers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com