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(Conditional Weighted Value at Risk) Let (mathcal {X}=L^{0}).
The method was based on the negative binomial distribution, and uses conditional weighted likelihood to moderate the level of overdispersion across sequence tags.
In addition, goodness-of-fit plots (observed vs. individually predicted, observed vs. population predicted, conditional weighted residuals vs. time, and conditional weighted residuals vs. population predictions) were used for diagnostic purposes.
In addition, the following goodness-of-fit plots were used for diagnostic purposes: (1) observed versus population predictions, (2) observed versus individual predictions, (3) conditional weighted residuals versus time and (4) conditional weighted residuals versus population predictions.
In addition, goodness of fit plots including observations vs individual predictions, observations vs population predictions, conditional weighted residuals vs time and conditional weighted residuals vs population predictions were used for diagnostic purposes.
For models run with the conditional estimation method (FOCE), it is most appropriate to use conditional weighted residuals (CWRES).
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In this paper, a class-conditional weighted (CCW) distance metric related to both the class labels of the prototypes and the query patterns is proposed.
Other goodness-of-fit plots, such as conditional-weighted residuals versus time and population prediction were also evaluated during the model development for gemcitabine, dFdU and dFdCTP.
The precoders are optimized based on the available channel estimate to maximize a conditional averaged weighted sum rate (AWSR) metric, computed using partial CSIT knowledge.
It can be viewed as a mixture of conditional MMSE estimates weighted by the posterior probability density function of the random steering vector given the observed data.
By assuming that the steering vector is a complex Gaussian random vector, the beamformer can be viewed as a mixture of conditional MMSE estimates weighted by the posterior PDF of the random steering vector.
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