What is Laplace transform?

... Stochastic Markov Processes in Reliability”, (with A. Ay, J. Landon and S. Ozekici), 2021, Probability in the Engineering and Informational Sciences, Vol. ... information in a random process and characterizing its asymptotic behavior. ... stochastic manner. The basic approach to proving positive coding theorems. Next, in Section 3, we model the HVAC problem as a Partially Observable Markov Decision Process (POMDP) with environment dependency. Section 4 shows that the ... Wu is with School of Mathematics and Informational Science,. Yantai ... Proposition 2: If a stochastic process is locally strongly uni- formly ... Apr 15, 2025 ... ... stochastic process. We introduce an informational taxonomy to profile these correlations via a suite of multivariate information measures. Jul 13, 2022 ... This paper proposes a novel model of sequential information design, namely the Markov persuasion processes (MPPs), in which a sender, with informational ... Stationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. Apr 28, 2024 ... It is shown that Bayesian updates can be characterized as additional informational drift in the underlying asset's stochastic process. ... information flow, modeled as a stochastic volatility process, and generalize standard autoregressive conditional heteroskedasticity specifications ... 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 ...