Results 41 to 50 of about 29,628 (317)
Stochastic metrology and the empirical distribution
Physical Review Research, 2023 We study the problem of parameter estimation in time series stemming from general stochastic processes, where the outcomes may exhibit arbitrary temporal correlations.
Joseph A. Smiga +3 more
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Entropy: The Markov Ordering Approach
Entropy, 2010 The focus of this article is on entropy and Markov processes. We study the properties of functionals which are invariant with respect to monotonic transformations and analyze two invariant “additivity” properties: (i) existence of a monotonic ...
Alexander N. Gorban +2 more
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CORRELATION FUNCTIONS FOR LINEAR ADDITIVE MARKOV CHAINS OF HIGHER ORDERS [PDF]
Радиофизика и электроника, 2019 Subject and purpose. The task of designing various radio engineering devices, such as filters, delay lines, antennas with a given radiation pattern, requires the development of methods for generating random sequences (the values of the system parameters)
V. E. Vekslerchik +3 more
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On an irreducibility type condition for the ergodicity of nonconservative semigroups
Comptes Rendus. Mathématique, 2020 We propose a simple criterion, inspired from the irreducible aperiodic Markov chains, to derive the exponential convergence of general positive semigroups.
Cloez, Bertrand, Gabriel, Pierre
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Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation [PDF]
, 2014 Approximate Bayesian computation has emerged as a standard computational tool when dealing with intractable likelihood functions in Bayesian inference. We show that many common Markov chain Monte Carlo kernels used to facilitate inference in this setting
Łatuszyński, Krzysztof, Lee, Anthony
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Markov Chains Fusion For Video Scenes Generation
, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
PIACENZA, Alberto +3 more
openaire +4 more sources
Maximum Entropy Estimation of Transition Probabilities of Reversible Markov Chains
Entropy, 2009 In this paper, we develop a general theory for the estimation of the transition probabilities of reversible Markov chains using the maximum entropy principle. A broad range of physical models can be studied within this approach.
Erik Van der Straeten
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Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Mathematics, 2021 In this paper, we propose a family of indistinguishability operators, that we have called Yager Possibilitic Response Functions (YPRFs for short), as an appropriate tool for allocating tasks to a collective of agents. In order to select the best agent to
Maria-del-Mar Bibiloni-Femenias +3 more
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Markov chains and schrodinger bridges [PDF]
, 2022 The study of sequences of dependent random variables arose at the beginning of the twentieth century. In 1906 the Russian mathematician Andrei Andreyevich Markov (1856-1922), a Chebyshev’s pupil, introduced some mathematical models to this end. His focus
De Battisti, Riccardo
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