Determining future scenarios of urban areas with cellular automata/Markov Chain Model method; example of Ereğli District Konya-Türkiye (2030–2040) [PDF]
Earth Science InformaticsAbstractAs a result of the rapid increase in the world population, the earth surface has started to be damaged due to natural and artificial effects. The extent of the damage to nature can be determined by examining the temporal changes of land use and land cover (LULC).
Taha Kağan Aydın +1 more
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Journal of Control Science and Engineering, 2017 This paper investigates the observer-based controller design problem for a class of nonlinear networked control systems with random time-delays. The nonlinearity is assumed to satisfy a global Lipschitz condition and two dependent Markov chains are ...
Yanfeng Wang +3 more
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Hopf algebras and Markov chains: two examples and a theory [PDF]
Journal of Algebraic Combinatorics, 2013 The operation of squaring (coproduct followed by product) in a combinatorial Hopf algebra is shown to induce a Markov chain in natural bases. Chains constructed in this way include widely studied methods of card shuffling, a natural “rock-breaking ...
Persi Diaconis, C. Y. Amy Pang, Arun Ram
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Markov chains and computer aided geometric design: Part II—examples and subdivision matrices [PDF]
ACM Transactions on Graphics, 1985 Ronald Goldman
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Contractive coupling rates and curvature lower bounds for Markov chains [PDF]
The Annals of Applied Probability, 2023 Contractive coupling rates have been recently introduced by Conforti as a tool to establish convex Sobolev inequalities (including modified log-Sobolev and Poincar\'{e} inequality) for some classes of Markov chains.
Francesco Pedrotti
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Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint [PDF]
SIAM/ASA J. Uncertain. Quantification, 2021 To overcome topological constraints and improve the expressiveness of normalizing flow architectures, Wu, K\"ohler and No\'e introduced stochastic normalizing flows which combine deterministic, learnable flow transformations with stochastic sampling ...
Paul Hagemann +2 more
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Detection and identification of changes of hidden Markov chains: asymptotic theory
Statistical Inference for Stochastic Processes : An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems, 2021 This paper revisits a unified framework of sequential change-point detection and hypothesis testing modeled using hidden Markov chains and develops its asymptotic theory.
Savas Dayanik, K. Yamazaki
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Nonlinear Markov chains with finite state space: invariant distributions and long-term behaviour [PDF]
Journal of Applied Probability, 2020 Nonlinear Markov chains with finite state space were introduced by Kolokoltsov (Nonlinear Markov Processes and Kinetic Equations, 2010). The characteristic property of these processes is that the transition probabilities depend not only on the state, but
Berenice Anne Neumann
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General diffusion processes as limit of time-space Markov chains [PDF]
The Annals of Applied Probability, 2020 In this paper we prove the convergence of the law of grid-valued random walks, which can be seen as time-space Markov chains, to the law of a general diffusion process.
Alexis Anagnostakis +2 more
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Open Markov Chains: Cumulant Dynamics, Fluctuations and Correlations
Entropy, 2021 In this work we propose a model for open Markov chains that can be interpreted as a system of non-interacting particles evolving according to the rules of a Markov chain.
Raúl Salgado-García
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