Results 41 to 50 of about 830,323 (220)
Agriculture, 2021 Based on the grain production data of the counties (cities, districts) in Poyang Lake Basin, this paper uses the productivity index of Epsilon Based Measure of Malmquist Luenberger (EBM-ML Index) to analyse the green total factor productivity (GTFP) of ...
Bingfei Bao +4 more
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Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces [PDF]
Neural Information Processing Systems, 2022 We study a class of dynamical systems modelled as Markov chains that admit an invariant distribution via the corresponding transfer, or Koopman, operator.
V. Kostić +5 more
semanticscholar +1 more source
How Quantum Evolution with Memory is Generated in a Time-Local Way
Physical Review X, 2021 Two widely used but distinct approaches to the dynamics of open quantum systems are the Nakajima-Zwanzig and time-convolutionless quantum master equation, respectively.
K. Nestmann, V. Bruch, M. R. Wegewijs
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Positive Operator Valued Measures and Feller Markov kernels [PDF]
Journal of Mathematical Analysis and Applications, 2016 26 pages.
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Maximum asymmetry of copulas revisited
Dependence Modeling, 2018 Motivated by the nice characterization of copulas A for which d∞(A, At) is maximal as established independently by Nelsen [11] and Klement & Mesiar [7], we study maximum asymmetry with respect to the conditioning-based metric D1 going back to Trutschnig [
Kamnitui Noppadon +2 more
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Mixing of Metropolis-adjusted Markov chains via couplings: The high acceptance regime [PDF]
Electronic Journal of Probability, 2023 We present a coupling framework to upper bound the total variation mixing time of various Metropolis-adjusted, gradient-based Markov kernels in the `high acceptance regime'.
Nawaf Bou-Rabee, Stefan Oberdorster
semanticscholar +1 more source
Optimal measures and Markov transition kernels [PDF]
Journal of Global Optimization, 2012 We study optimal solutions to an abstract optimization problem for measures, which is a generalization of classical variational problems in information theory and statistical physics. In the classical problems, information and relative entropy are defined using the Kullback-Leibler divergence, and for this reason optimal measures belong to a one ...
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Asymptotics of Markov Kernels and the Tail Chain [PDF]
Advances in Applied Probability, 2013 An asymptotic model for the extreme behavior of certain Markov chains is the ‘tail chain’. Generally taking the form of a multiplicative random walk, it is useful in deriving extremal characteristics, such as point process limits. We place this model in a more general context, formulated in terms of extreme value theory for transition kernels, and ...
Resnick, Sidney I., Zeber, David
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Information geometry of Markov Kernels: a survey
Frontiers in Physics, 2023 Information geometry and Markov chains are two powerful tools used in modern fields such as finance, physics, computer science, and epidemiology. In this survey, we explore their intersection, focusing on the theoretical framework. We attempt to provide a self-contained treatment of the foundations without requiring a solid background in differential ...
Geoffrey Wolfer, Shun Watanabe
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