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} }}.
This term can be estimated by the techniques used in a posterior error estimates for the stationary problem.
In contrast to [13], here we use the elliptic reconstruction technique developed in [18] for parabolic problems instead of dual argument skill to deduce the a posterior error estimates for the state and adjoint state.
By use of this technique we can take full advantage of the well-established a posteriori error estimates for stationary convection diffusion optimal control problems in [7], [15] to derive the a posterior error estimate for transient convection diffusion optimal control problems.
We first confirmed that the posterior error probability for the overlapped region was correct by counting the true error rate in composite reads constructed from simulated reads.
