What are the applications of stochastic processes in psychology and cognitive science?

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 ... May 13, 2023 ... Defended December 14th, 2022. i. Page 3. Rigorous Analysis of Markov Processes with Applications to Quantum Information. Jun 6, 2018 ... Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While ... Feb 8, 2012 ... ... informational privacy is the high uncertainty about ... stochastic processes, which fit into the Binomial Option Pricing Model (BOPM). May 22, 2020 ... ... process—the minimal amount of information required to ... If the considered time series is generated by a stochastic process of Markov ... stochastic volatility process (Andersen (1992b)). We now turn to the issue of nonstationarity. So far, we have assumed that volume is stationary. This ignores ... their work to capture GARCH features in equilibrium prices, by directly incorporating stochastic volatility in the (short-lived) private information process.) ... 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) ... The dynamic features are governed by the information flow, modeled as a stochastic volatility process, and generalize standard ARCH specifications. Mar 22, 2011 ... ... stochastic process is present in commodity prices. In addition, we build a dynamic stochastic general equilibrium model with informational ...