Sentence examples for creating surrogates from inspiring English sources

We recommend that these data be carefully interpreted, with the goal of establishing baseline exposure information, rather than creating surrogates for conclusions about human health risk.

Creating surrogates for normalization via plain randomization yields Erdös-Rényi random networks, which have a Poisson degree distribution.

An alternative approach based on conceptual modelling for creating surrogate models is presented.

Mokeichev et al. (2007) [21] proposed three new methods for creating surrogate data of intracellular traces, and their results did not reject the null hypothesis that repeats of cortical activity are stochastically generated.

The significance of TE values was determined by randomising the source time series 250 times to create surrogates, and leaving the target time series unchanged.

Growing networks with specified characters (degree distribution and modularity) provides the opportunity to create surrogates for biological and technological networks, and to test hypotheses about the processes that gave rise to them.

A workflow is presented to create surrogate models from any or all of the properties which affect production.

This algorithm exploits stochastic expansions derived from the Non-Intrusive Polynomial Chaos (NIPC) technique to create surrogate models utilized in the optimization process.

We thus investigate several methods of down-sampling the co-presence signal in order to create surrogate contact networks, in the spirit of [28, 29], and compare these surrogate data to the actual networks of face-to-face contacts.

We have thus examined several methods to downsample the co-presence networks to create surrogate contact networks with overall the same amount of contact time than the real contact data.

The Poisson simulation creates surrogate traces by stimulating a single model neuron with synaptic inputs.