Dufek, J. & Bergantz, G. W. Lower crustal magma genesis and preservation: a stochastic framework for the evaluation of basalt crust interaction.
The annual random pest invasions are modelled in a static stochastic framework.
In this work, microgrid management system is developed in a stochastic framework.
In this work, we develop a novel general stochastic framework to model the deterioration process.
Numerical illustrations show that, in a stochastic framework, TNBS does not always outperform the CFS.
A stochastic framework is proposed to formulate the filtering problem for such systems.
This is where the stochastic framework becomes effective in achieving consistency and efficiency.
A key issue is the characteristic flux decomposition in the stochastic framework for which we propose different approaches.
A stochastic framework is developed, in terms of the theory of homogeneous random functions, to estimate the seismic hazard associated with linearly extending seismic sources.
In the present study, a two-scale stochastic framework has been proposed for predicting the failure strength probability of heterogeneous materials.
Using the stochastic framework, the cumulative probability of simulated NPS-P data provided a trade-off between expenditure burden and desired risk.
