What are stochastic models of opinion formation?

... stochastic process, whether the original process is Markovian or not. ... information sharing called "informational coherence". Informational coherence, in ... ... informational and statistical characterization of the classical stochastic processes that result from that interaction.As a classical observer uses a ... their work to capture GARCH features in equilibrium prices, by directly incorporating stochastic volatility in the (short-lived) private information process.) ... ... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us to build a ... Mar 17, 2025 ... ... stochastic process governed by statistical mechanics. These ... The toroidal model acknowledges that energy and information distributions follow ... ... information to solve engineering and technology problems by different methods. ... processes, r th order Markov chains, time series as stochastic processes. 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) ... 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 ... Aug 8, 2024 ... Stochastic Processes and their Applications 55, 159 - 167 (1995). A stochastic process arising in sequential experimentation. Statistics ... stochastic process. Mutual information based distance measure can thus be used to compare texts written by different authors or to build phylogenies of ...