EDN

Understanding stochastic process disturbances and the discrete time domain

Editor's note: As the following article is a chapter (Chapter 8) from David Koenig's book, Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (MATLAB Examples) (McGraw ...
Nature

Continuous-Time Autoregressive Moving Average Processes

Continuous-Time Autoregressive Moving Average (CARMA) processes extend the classical discrete-time ARMA framework to continuous time, offering a flexible modelling approach for phenomena where ...
uni

Theory of stochastic processes

Stochastic processes are at the center of probability theory, both from a theoretical and an applied viewpoint. Stochastic processes have applications in many disciplines such as physics, computer ...
Risk

Numerical solution of the Hamilton–Jacobi–Bellman formulation for continuous-time mean–variance asset allocation under stochastic volatility

We present efficient partial differential equation (PDE) methods for continuous-time mean-variance portfolio allocation problems when the underlying risky asset follows a stochastic volatility process ...