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For the SITAR, we perform the quantitative security evaluation using two stochastic models: semi-Markov modeling and Markov regenerative stochastic Petri net (MRSPN) modeling.
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By using two stochastic variables which satisfy Bernoulli random binary distribution, we propose a new model of complex networks.
We demonstrate the utility of our algorithms using two example stochastic models, including a birth-death process and a gene auto-regulation model.
To improve the predictive accuracy of substitution matrices for HIV protein evolution, we estimated two stochastic models from multiple representative HIV-1 sequence alignments using maximum likelihood.
In this section we introduce two stochastic models for somatic mutations in cancer.
Here, I compute projected times to metapopulation extinction using three different stochastic simulation models: (i) a demographic model assuming that population growth is finite and has a constant expectation; (ii) a genetic model accounting for variation in the drift and inbreeding loads.
We study the stochastic binding of single Ca2+ ions to receptors in the cleft using two different models of diffusion: a stochastic and discrete Random Walk (RW) model, and a deterministic continuous model.
In addition, comparison is made using two different modelings, random variable modeling and stochastic field modeling for the stochastic ground media.
We generated random complexes using two different random models to evaluate significance of trends associated with non-stochastic protein complex organization.
Three stochastic models were used to simulate the seasonal and spatial dynamics of this system, with the purpose of determining: (1) the growth rates of populations living in single versus a two-habitat landscape; and (2) if the amount, direction, and seasonality of rodent movements between the two habitats may impact these growth rates.
Out of 20 models that integrate SSCM risks, nine stochastic models (seven descriptive-stochastic, two normative-stochastic) are detected.
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