This project aims at developing mathematical statistics and probability theory to provide methodologies for modeling and analysis of complex random systems. Statistical methods enable analysis of ...

You will be redirected to our submission process. At the nanoscale, noise is not a disturbance but a dominant physical signal. Contemporary nanotechnology operates in regimes governed by thermodynamic ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

Abstract: We present a stochastic model generator for creating discrete event simulation models. The size, structure, layout and behavior of the generated model can be parameterized. By using ...

1 Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, USA, 2 Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado ...

Simulation research derives new methods for the design, analysis, and optimization of simulation experiments. Research on stochastic models develops and analyzes models of systems with random behavior ...

Stochastic differential equations (SDEs) provide a flexible framework for modeling time series, dynamical systems, and sequential data. However,learning SDEs from data typically relies on adjoint ...