What is the rate distortion theory for stochastic processes? What are quantum stochastic processes?

General Information (Catalog listing). 01:640:478 Markov chains for discrete-time models, Poisson processes, Markov chains for continuous-time models, ... ▷ Evolves according to a persistent stochastic process. ▷ Distribution πt|t ... ▷ Informational feedback onto CB information. L'Huillier and Zame ... The first one for obtaining concentration of Markov chains is to establish transport- entropy inequalities in the process level. This was begun again by Marton ... May 13, 2023 ... Defended December 14th, 2022. i. Page 3. Rigorous Analysis of Markov Processes with Applications to Quantum Information. stochastic process. Mutual information based distance measure can thus be used to compare texts written by different authors or to build phylogenies of ... Nov 11, 2016 ... We consider stochastic dynamics of interacting systems and , which are not necessarily Markov processes. We consider a discrete time k (=1, …, N) ... ... information in a random process and characterizing its asymptotic behavior. ... stochastic manner. The basic approach to proving positive coding theorems. ... informational divergence between two Markov processes at ... Markov chains defined by a memoryless stochastic matrix correspond in fact to an iid process. ... stochastic processes or theoretical models. With the development of transfer ... In the bivariate case, information flow from process J to process I is ... Dec 19, 2024 ... Although Thermodynamics, Information Theory, Brownian motion and Stochastic Physical Process share commonalities in handling energy, information ...