Stochastic optimal control has become a critical framework for addressing decision-making problems under uncertainty, especially in the context of financial market models. By combining ...

In this paper we address the problem of increasing software maintenance costs in a custom software development environment, and develop a stochastic decision model for the maintenance of information ...

Here it is applied to a one-sector neoclassical growth model with decision rule generated from a linear-quadratic approximation. The Journal of Business & Economic Statistics (JBES) has been published ...

Abstract: In water resources planning and management, stochastic modeling and simulation of hydrologic time series has been widely used for various purposes including decision making and project ...

In this white paper, written in collaboration with Principal Data Scientist Alan McCord, Coupa outlines a grounded, scalable approach to AI in supply chain design and planning.

Abstract Wavelet and hidden Markov-based modeling frameworks were developed to better capture the nonstationarity and non-Gaussian characteristics of streamflow that linear models cannot.