James R. Prairie; Balaji Rajagopalan; Terry J. Fulp; and Edith A. Zagona, M.ASCE. “Modified K-NN Model for Stochastic Streamflow Simulation,” Journal of Hydrologic Engineering, 11(4), July 1, 2006.

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

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 ...

Two stochastic simulation models for the studyh of immunization strategies are presented. The first is for influenza in a community of one thousand persons in four age groups and allows for clustering ...

We study Ornstein-Uhlenbeck stochastic processes driven by Lévy processes, and extend them to more general non-Ornstein-Uhlenbeck models. In particular, we investigate the means of making the ...

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 ...

This course is available on the MSc in Applicable Mathematics, MSc in Econometrics and Mathematical Economics, MSc in Financial Mathematics, MSc in Operations Research & Analytics, MSc in Quantitative ...

Stochastic Simulation Ltd was an Australian public company founded in 2008 providing specialist modelling software and services to the upstream oil and gas industry. Stochastic Simulation developed a ...