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 ...

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 ...

Stochastic modelling of reaction–diffusion systems has emerged as a crucial framework for understanding the complex interplay between chemical reactions and molecular diffusion in biological settings.

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 ...

With the semiconductor industry adopting 45nm and smaller technology nodes, process variation has become an increasingly challenging issue for both integrate circuit (IC) design and manufacturing, ...

Are you looking to develop the skills to solve real-world challenges in finance, risk management, and insurance? These fields often deal with unpredictable phenomena—like investment decisions, ...

In this paper, we present three new discretization schemes for the Heston stochastic volatility model: two schemes for simulating the variance process and one for simulating the integrated variance ...

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 is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and ...