Results 1 to 10 of about 104,993 (265)
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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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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Stochastic mechanistic interaction [PDF]
Biometrika, 2016 We propose a fully probabilistic formulation of the notion of mechanistic interaction (interaction in some fundamental mechanistic sense) between the effects of putative (possibly continuous) causal factors A and B on a binary outcome variable Y indicating 'survival' vs 'failure'.
Carlo Berzuini, A. Philip Dawid
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Harvesting of interacting stochastic populations [PDF]
Journal of Mathematical Biology, 2019 35 pages, 10 ...
Hening, Alexandru +3 more
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Setpoint regulation for stochastically interacting robots [PDF]
Autonomous Robots, 2009 We present an integral feedback controller that regulates the average copy number of an assembly in a system of stochastically interacting robots. The mathematical model for these robots is a tunable reaction network, which makes this approach applicable to a large class of other systems, including ones that exhibit stochastic self-assembly at various ...
Nils Napp, Samuel Burden, Eric Klavins
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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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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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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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