What are stochastic differential equations (SDEs)? What is the difference between ordinary differential equations and stochastic differential equations?

... informational and statistical characterization of the classical stochastic processes that result from that interaction.As a classical observer uses a ... Some informational properties of Markov pure-jump processes. Časopis pro ... bedded associated process, which is a bivariate discrete-time Markov process. May 13, 2023 ... Defended December 14th, 2022. i. Page 3. Rigorous Analysis of Markov Processes with Applications to Quantum Information. Mar 15, 2023 ... Abstract. Some mathematical models of informational signals and methods of the diagnostic system construction is considered. Different type of ... This paper develops a subordinated stochastic process model for asset prices, where the directing process is identified as information. Motivated by recent. Jun 6, 2018 ... Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While ... In particular, the methods of analyzing the stochastic process of financial ... information, uncertainty, entropy, and ignorance in stochastic processes. ... Stochastic Processes and their Ap- plications, 74 (2) 195-201, 1998. 21 ... gineering and Informational Science, 18 (4) 493-502, 2004. 26. Zazanis ... Stationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. May 22, 2020 ... ... process—the minimal amount of information required to ... If the considered time series is generated by a stochastic process of Markov ...