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 ...

We present a stochastic simulation model for estimating forward-looking corporate probability of default and loss given default. We formulate the model in a discrete time frame, apply ...

Stochastic volatility models are increasingly important in practical derivatives pricing applications, yet relatively little work has been undertaken in the development of practical Monte Carlo ...

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 ...

Reading course on current topics in stochastic simulation design and analysis, including some subset of input modeling, output analysis, experiment design, simulation optimization, model risk, ...

This paper documents the specification of a model that was constructed to assess debt sustainability in emerging market economies. Key features of the model include external and fiscal sectors, which ...

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.