How can stochastic models analyze the reliability of production systems?

The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ... ufacturing systems, information economics, stochastic processes and performance model- ing for capacity planning and pricing. Seidmann has consulted with ... Wu is with School of Mathematics and Informational Science,. Yantai ... Proposition 2: If a stochastic process is locally strongly uni- formly ... Mar 22, 2011 ... ... stochastic process is present in commodity prices. In addition, we build a dynamic stochastic general equilibrium model with informational ... May 9, 2024 ... From a quantum information perspective, whenever a stochastic process can be exactly expressed as an ε-machine with a finite amount of ... Probability in the Informational and Engineering Sciences ... Stochastics: An International Journal of Probability and Stochastic Processes (formerly Stochastics ... ... Informational Risks, Peking Univ. Ser. Math. 5 ... Jeanblanc, No-arbitrage under additional information for thin semimartingale models, Stochastic Process. May 22, 2020 ... ... process—the minimal amount of information required to ... If the considered time series is generated by a stochastic process of Markov ... ... informational divergence between two Markov processes at ... Markov chains defined by a memoryless stochastic matrix correspond in fact to an iid process. Mar 1, 2018 ... ... stochastic process. This has recently been verified experimentally ... & Crutchfield, J. P. Information anatomy of stochastic equilibria.