Results 61 to 70 of about 1,765,864 (313)
Dissipative control of a three-species food chain stochastic system with a hidden Markov chain
Advances in Difference Equations, 2017 This paper focuses on a three-species food chain system which is formulated as stochastic differential equations with regime switching represented by a hidden Markov chain. Firstly, using the Wonham filter, we estimate the hidden Markov chain through the
Yonggang Ma +3 more
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Applying diffusion-based Markov chain Monte Carlo. [PDF]
PLoS ONE, 2017 We examine the performance of a strategy for Markov chain Monte Carlo (MCMC) developed by simulating a discrete approximation to a stochastic differential equation (SDE). We refer to the approach as diffusion MCMC.
Radu Herbei, Rajib Paul, L Mark Berliner
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Information and Control, 1976 We investigate the possibility of synthesizing stable probability distribution generators on the basis of a complete system of deterministic elements and generators of random signals described by nonhomogeneous Markov chains. It is shown that such generators can be obtained by constructing some finite Moore automata with special transition functions ...
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CoRR, 2014 The formal verification of large probabilistic models is important and challenging. Exploiting the concurrency that is often present is one way to address this problem. Here we study a restricted class of asynchronous distributed probabilistic systems in which the synchronizations determine the probability distribution for the next moves of the ...
Sumit Kumar Jha 0001 +3 more
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Segregating Markov Chains [PDF]
Journal of Theoretical Probability, 2017 Dealing with finite Markov chains in discrete time, the focus often lies on convergence behavior and one tries to make different copies of the chain meet as fast as possible and then stick together. There is, however, a very peculiar kind of discrete finite Markov chain, for which two copies started in different states can be coupled to meet almost ...
Timo Hirscher, Anders Martinsson
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Strong Ergodicity in Nonhomogeneous Markov Systems with Chronological Order
MathematicsIn the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all studies of asymptotic behavior.
P.-C.G. Vassiliou
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Markov chain analysis of regional climates [PDF]
Nonlinear Processes in Geophysics, 2010 We present a novel method for regional climate classification that is based on coarse-grained categorical representations of multivariate climate anomalies and a subsequent Markov chain analysis.
S. Mieruch +4 more
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A Markov Chain state transition approach to establishing critical phases for AUV reliability [PDF]
, 2011 The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain,
Griffiths, Gwyn +3 more
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Advanced Science, EarlyView.We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source