What are the defining characteristics of a Gaussian process?

May 23, 2022 ... Emergence and information in stochastic and deterministic processes. For systems composed of (or defined by) stochastic processes, emergence ... May 22, 2020 ... ... process—the minimal amount of information required to ... If the considered time series is generated by a stochastic process of Markov ... A model is proposed which treats network traffic as a stochastic process with an infinite mean delay. Such a model can be used to explain the appearance of ... Nov 30, 2020 ... It is initially unknown what the parameter process corresponds to biologically, hence the moniker 'hidden' state. Nevertheless, the information ... Stationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. Dec 19, 2024 ... Although Thermodynamics, Information Theory, Brownian motion and Stochastic Physical Process share commonalities in handling energy, information ... 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 ... Mar 6, 2020 ... Let Π be a fully connected transition operator for a Markov process on S, where. Π(s, s0) =: πs(s0) is the probability of transitioning from ... Apr 28, 2024 ... It is shown that Bayesian updates can be characterized as additional informational drift in the underlying asset's stochastic process. Probability in the Informational and Engineering Sciences ... Stochastics: An International Journal of Probability and Stochastic Processes (formerly Stochastics ...