Sentence examples for modeling the stochastic from inspiring English sources

In this case, the narrowband assumption of modeling the stochastic process of taps independent across delay no longer holds.

Further from these parameters, the continuous random attributes such as traffic volume and rain fall effect was considered in probabilistic analysis for modeling the stochastic behavior of travel time distribution.

Because neural spike trains are time series of action potentials, point process theory has been shown to provide an accurate framework for modeling the stochastic structure of single and multiple neural spike trains.

In this paper, we will focus on modeling the stochastic control problem and providing solutions for finding the optimal look-ahead control policy under either average- or discounted-cost criteria.

Simulation results on a set of compressor failures showed that in modeling the stochastic nature of reliability data, both the ARIMA and the recurrent neural network (RNN) models outperform the feed-forward model; in terms of lower predictive errors and higher percentage of correct reversal detection.

Specific advantages of these models include the ability to selectively activate latent alleles of interest, effectively modeling the stochastic gain of activating mutations and/or loss of tumor suppressors commonly observed in sporadic human cancers.

Rayleigh distributed channel amplitudes have been used to model the stochastic behavior of the channel in this situation.

In this work, we modeled the stochastic repair processes of DSBs and a detection mechanism which is based on the autophosphorylation of ATM.

Dynamic Bayesian networks (DBNs) are used to model the stochastic evolution of a set of random variables.

Toward understanding such single-cell variability in apoptosis response, some theoretical efforts have been taken recently to model the stochastic response of receptor-mediated apoptotic pathway.

We explicitly model the underlying stochastic process, using Markov chain Monte Carlo (MCMC) simulation in a Bayesian framework [ 28- 30].