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Williams, "Some properties of a simple stochastic epidemic model of SIR type," Mathematical Biosciences, vol.
Stochastic parameterization is the approach to represent uncertainty in the model formulation with stochastic terms.
The SPPT scheme applies stochastic perturbations in the form of multiplicative noise to the parameterized diabatic part of the tendency equations of the prognostic variables (Palmer et al.
The Purdue group proposed a new stochastic training algorithm for synapses using spike timing dependent plasticity (STDP), termed Stochastic-STDP, which has been experimentally observed in the rat's hippocampus.
Advantageously, use of high-energy barrier magnets (30-40KT where K is the Boltzmann constant and T is the operating temperature) not only allows compact stochastic primitives, but also enables the same device to be used as a stable memory element meeting the data retention requirement.
Based on the above discussions, in our paper, the purpose is to discuss the locally optimal filtering problem for a class of discrete-time systems with stochastic
nonlinearity functions, finite-step correlated noises, and missing measurements.
process X = X(t) considered in this paper can be described by stochastic
In this paper, we formulate the dynamic and stochastic
capacitated vehicle routing problem, where the demands are stochastic
and dynamic, as a two-stage stochastic
One uses therefore various special techniques, which can, e.g., be found in the papers [12, 13] (the stochastic
case) and  (the deterministic case).
The weak solution of this stochastic
differential equation exists, but there is not the strong solution.
Recently, many scholars focused on nonautonomous stochastic