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The biological replicates were advantageous because DESeq is then able to determine a much better variance estimate for each transcript improving the statistical power of the experiment.
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This R 2 is more than twice higher than the R 2 obtained with the purchase frequency, explaining much better the variance in the distances travelled by customer.
However, in almost all of the data situations in our simulation study, longitudinal IRT performs much better in retrieving the variance estimates.
Differences in the modeled variance indicate how much better a model can account for the variance at a specific level [ 32].
A simulation example shows that the statistical properties also in this case are much better than predicted by average variance analysis if Δ< 0. For this simple example, it is hence possible to monitor the quality of the estimate by studying the sign of Δ. Traditional variance analysis only considers the average effects and hence misses this two mode (good or bad) situation.
(2010) is, in contrast, much better suited to the unknown variance case, since they can simply be included as additional parameters in their conditional likelihood.
The gradient direction variance (GDV) performs much better than the wavelet-based filtering.
However, the uncertainty about the predictions was much better quantified by the non-stationary variance model, as indicated by the mean and median of the standardized squared prediction error and by accuracy plots.
I think this variance is a major reason why your multimodal processing could do so much better than a BCI-system that is solely based on EEG analysis.
Indeed, our simulation results shows much better coverage probabilities of the CI resulting from the superpopulation estimator than those resulting from the robust variance estimator.
Much, much better.
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