Sentence examples for sampling to generate from inspiring English sources

Traditionally, this method has been applied by using Monte Carlo (MC) sampling to generate the samples of the stochastic variables.

TZNPS employed multistage, stratified, random sampling to generate nationally representative samples.

SOFIT is a widely used direct observation system that uses momentary time sampling to generate data on players' physical activity, lesson context, and leader behaviour [ 14].

As an alternative, to estimate the parameters of interest, we used the Markov-chain Monte-Carlo method of Gibbs sampling to generate the posterior distribution of all unknown parameters of the joint model, given only the observed data.

To determine confidence regions for the estimated fluxes, we used the Metropolis-Hastings algorithm for Markov chain Monte Carlo (MCMC) sampling to generate extensive ensembles of feasible flux combinations that describe the data within measurement precision limits.

However, we predict S to be biased, so similarly biased random samples | S| must be taken from L. We therefore used rejection sampling to generate 10,000 samples of | S HIV | with the distribution of S HIV in preference to the naïve random selection.

Interpolation of reference samples to generate a motion-compensated prediction is generally performed for each macroblock that is intercoded [12] and occupies most complexity in motion-compensated prediction.

Such short time-series data render many methods of classical time-series analysis inappropriate, since they generally require much larger samples to generate statistically significant results.

We adopted the MCMC technique with the Gibbs sampler to generate the chains.

Pure methane is recombined into a typical Manatokan dead heavy oil sample to generate a live oil sample.

A typical metabolomics profiling requires enormous number of samples to generate the results that are statistically rigorous.