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Two CSI error models, deterministically bounded error model and stochastic error model, were considered.
Two CSI error models, deterministically bounded error model and stochastic error model, are considered.
The same data has been considered to develop the traditional statistical model such as regression model and stochastic models.
Therefore in this paper, first, the fundamental calculation of ground movement over time using the Knothe time model and stochastic prediction model is briefly introduced.
The main econometric models to estimate volatility characteristics and spillovers between financial markets are the autoregressive conditional heteroskedasticity (ARCH) model and stochastic volatility (SV) model.
This paper aims to investigate the stochastic mechanical characteristics of tunnel in cold regions on the basis of a stochastic analysis model and stochastic finite element method.
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In addition, comparison is made using two different modelings, random variable modeling and stochastic field modeling for the stochastic ground media.
The modeling method can be further divided into determinable modeling and stochastic modeling and is used to nicely reflect internal changes of geological body.
In particular, a more elaborated study considering realistic neuron models (such as Hodgkin-Huxley model [67]) and stochastic STD models (see [29], [49], for instance) is necessary, as well as more detailed experimental studies which may confirm our predictions.
Many SDES models have been developed, for instance, stochastic automata, queuing models, and stochastic Petri nets.
We discuss these conditions, suggesting a method to connect Boolean models, mean-field models, and stochastic chemical models.
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