What is a reducible Markov chain? What is a communicating class of states in a Markov chain?

Feb 8, 2012 ... ... informational privacy is the high uncertainty about ... stochastic processes, which fit into the Binomial Option Pricing Model (BOPM). In particular, if we partition a set of stochastic processes into groups whose sums must be forecast independently, then the statistical properties of each ... 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 ... Nov 30, 2020 ... It is initially unknown what the parameter process corresponds to biologically, hence the moniker 'hidden' state. Nevertheless, the information ... Gaussian stochastic process with mean. Er|θ. [∆ϑ(r)] = 1 n !i f [bi + #i(θ)] ... Information-theoretic asymptotics of Bayes methods. IEEE Trans- actions ... Stationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. ... Informational Sciences (PEIS), 3, 223-236. Sigman, K., (1990). One ... Independent Sampling of a Stochastic Process Stoch. Proc. Appls., 74, 151 ... Applying sequential measurements yields classical stochastic processes whose informational properties are bounded by those of the underlying quantum process. May 13, 2023 ... Defended December 14th, 2022. i. Page 3. Rigorous Analysis of Markov Processes with Applications to Quantum Information. The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ...