How can you test hypotheses about stochastic processes?

Renewal processes are broadly used to model stochastic behavior consisting of isolated events separated by periods of quiescence, whose durations are ... ... informational and statistical characterization of the classical stochastic processes that result from that interaction.As a classical observer uses a ... Probability in the Informational and Engineering Sciences ... Stochastics: An International Journal of Probability and Stochastic Processes (formerly Stochastics ... Aug 28, 2020 ... ... process' informational content, but it does not address how this ... process (partly regular, partly stochastic), the golden mean process. Jul 6, 2021 ... Asymmetric information may stem from, e.g., the observation of different stochastic processes or partial knowledge of the structure of the game ... Mar 9, 2023 ... [44] for the general Markov process. This result also gives another link between information geometry in the space of path probability densities ... ... stochastic time series. We dissect the uncertainty of a single observation ... process's internal information dynamics. The measures scale with the ... processes. The essence of this approach consists of: an accumulation and evaluation of Marcovian stochastics via macro functional of the stochastic process; use ... ... stochastic process, whether the original process is Markovian or not. ... information sharing called "informational coherence". Informational coherence, in ... Oct 1, 2017 ... Convection processes have also been proposed to be represented through stochastic parameterizations (Christensen et al. 2015). Some climate ...