This course aims to develop a computational view of stochastic differential equations (SDEs) for students who have an applied or engineering background, e.g., machine learning, signal processing, ...
Abstract: This paper proposes a stochastic process based remaining useful life (RUL) prediction method for hybrid systems in the presence of intermittent fault. The failure of an intermittently faulty ...
Abstract: Deterministic Turing machines and their associated complexity measures, by construction, cannot capture the complexity of the output of stochastic processes - like those in the real world.
As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...
The 2025 edition of the traditional Boltzmann Lecture will be held on Thursday, February 20th, at 14:00 in Room 128-129. Professor Satya Majumdar from CNRS and Universite Paris-Sud, Orsay will give a ...
ABSTRACT: In this article, we develop and analyze a continuous-time Markov chain (CTMC) model to study the resurgence of dengue. We also explore the large population asymptotic behavior of ...
Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...
A distinguished panel featuring U.S. District Judge J. Philip Calabrese, U.S. Magistrate Judge James E. Grimes, Jr., Assistant United States Attorney Margaret Sweeney and Assistant Public Defender ...
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