In the context of stochastic chemical kinetics, this refers to an exact discrete event simulation algorithm for generating time course trajectories of chemical reaction network models.

(1) Spatial processes in an acarine predator-prey system were simulated by a stochastic population model. (2) The model describes interactions between prey and predators within a large number of ...

Topics Discrete event simulation modeling Design and analysis of simulation experiments Simulation optimization Variance reduction & rare event simulation MCMC, steady-state simulation, and exact ...

In this paper we present an exact maximum likelihood treatment for the estimation of a Stochastic Volatility in Mean (SVM) model based on Monte Carlo simulation methods. The SVM model incorporates the ...

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 ...

This course provides the skills needed to examine and apply modern statistical and machine learning methods to significant real-world computational issues in finance, risk management, and insurance.

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 ...

A recent study from researchers at KAUST has introduced a novel approach to reducing the risk of interference between 5G ...