Sentence examples for distributions at hand from inspiring English sources

The straightforward convolution of K distributions at hand is an intricate technical problem, and therefore, we suggest an alternative approach.

Hence, we can hypothesize that our distributions at hand are also heavy tailed distributions that will most likely follow a power law model.

The first aspect concerns the existence, convergence, and computational complexity of optimal algorithms tailored (matched) to a particular CES distribution at hand.

The most straightforward way is to take a random sample of K trees directly from the empirical distribution at hand.

With the number of reported cases and the cumulative delay distribution at hand, it is possible to estimate the number of hospitalizations that are still to be reported.

The distribution functions of the observed values are symmetrical with respect to the zero axis and the distributions at the right-hand and left-hand sides are equivalent.

For back-and-forth conversion of the prerun samples and proposals [ 23], we naturally applied the according prior distributions of the models at hand.

This is a result more in line with previous research and the outcome of experiment I, a fact that seems to indicate a bad functioning of (M_{unique}) that makes this method unable to properly capture the underlying noise distribution of the task at hand.

First, the distribution of the data at hand may vary substantially.

We thus view a particular set of conformations as a sample from an underlying distribution and aim to model this distribution based on the sample at hand.

We applied various simulation scenarios including scenarios based on realistic haplotype distributions from our epidemiological study at hand.