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Information Geometry on Complexity and Stochastic Interaction [PDF]
Entropy, 2015 Interdependencies of stochastically interacting units are usually quantified by the Kullback-Leibler divergence of a stationary joint probability distribution on the set of all configurations from the corresponding factorized distribution.
Nihat Ay
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Physical Review Research, 2020 We show a relation between the entropy production in stochastic thermodynamics and the stochastic interaction in the integrated information theory. To clarify this relation, we introduce an information-geometric interpretation of the entropy production ...
Sosuke Ito +2 more
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Stochastic quantum inflation for a canonical scalar field with linear self-interaction potential
European Physical Journal C: Particles and Fields, 2017 We apply Starobinsky’s formalism of stochastic inflation to the case of a massless minimally coupled scalar field with linear self-interaction potential.
Grigoris Panotopoulos
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A Compositional Semantics for Stochastic Reo Connectors [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 In this paper we present a compositional semantics for the channel-based coordination language Reo which enables the analysis of quality of service (QoS) properties of service compositions. For this purpose, we annotate Reo channels with stochastic delay
Young-Joo Moon +3 more
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Forecasting the stochastic vicious cycle of cancer progression and immune response
Results in Physics, 2021 It is accepted that cancer progression is a stochastic process, and there is a bifurcation in cancer cell count, which gets chaotic if not treated at preliminary stages.
Muhammad Idrees +2 more
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On the interaction of stochastic forcing and regime dynamics [PDF]
Nonlinear Processes in Geophysics, 2023 Stochastic forcing can, sometimes, stabilise atmospheric regime dynamics, increasing their persistence. This counter-intuitive effect has been observed in geophysical models of varying complexity, and here we investigate the mechanisms underlying ...
J. Dorrington, J. Dorrington, T. Palmer
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Modeling Spatial Interaction in Stochastic Frontier Analysis
Frontiers in Sustainable Food Systems, 2021 We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model specifications that account for unobserved heterogeneity in both the production and the efficiency sides of the stochastic frontier model in an empirical ...
Francisco J. Areal, Valerien O. Pede
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Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems
Entropy, 2018 The Kullback–Leibler (KL) divergence is a fundamental measure of information geometry that is used in a variety of contexts in artificial intelligence.
Oliver M. Cliff +2 more
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Journal of Marine Science and Engineering, 2022 The prefabricated vertical drain (PVD) is an essential means to mitigate the settlement of soft soil foundations in coastal areas of South China. The commonly used elastoplastic analytical method cannot directly reflect the interaction of different PVDs ...
Zhen Liu, Yi Gao, Jin Liao, Cuiying Zhou
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Dynamic analysis of a stochastic four species food-chain model with harvesting and distributed delay
Boundary Value Problems, 2021 A stochastic four species food-chain model is proposed in this paper. Here, artificial harvest in each species and the effect of time delay for interaction between species are considered, which makes the model more applicable in real situations ...
Nafeisha Tuerxun, Zhidong Teng, Wei Chen
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