Results 11 to 20 of about 3,240,521 (334)
Limit distribution theory for smooth p-Wasserstein distances [PDF]
The Annals of Applied Probability, 2022 The Wasserstein distance is a metric on a space of probability measures that has seen a surge of applications in statistics, machine learning, and applied mathematics. However, statistical aspects of Wasserstein distances are bottlenecked by the curse of
Ziv Goldfeld +3 more
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Group Decision and Negotiation, 2021 Large-scale group decision-making (LSGDM) deals with complex decision- making problems which involve a large number of decision makers (DMs). Such a complex scenario leads to uncertain contexts in which DMs elicit their knowledge using linguistic ...
Feifei Jin +3 more
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Neutrosophic entropy measures for the Weibull distribution: theory and applications
Complex & Intelligent Systems, 2021 Entropy is a standard measure used to determine the uncertainty, randomness, or chaos of experimental outcomes and is quite popular in statistical distribution theory.
R. Sherwani +4 more
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Journal of High Energy Physics, 2021 Inspired by Lefschetz thimble theory, we treat Quantum Field Theory as a statistical theory with a complex Probability Distribution Function (PDF). Such complex-valued PDFs permit the violation of Bell-type inequalities, which cannot be violated by a ...
Peter Millington +3 more
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Statistical distribution of intensity fluctuations for underwater wireless optical channels in the presence of air bubbles [PDF]
Iran Workshop on Communication and Information Theory, 2016 In this paper, we experimentally investigate the statistical distribution of intensity fluctuations for underwater wireless optical channels under different channel conditions, namely fresh and salty underwater channels with and without air bubbles.
Mohammad Vahid Jamali +8 more
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Measure Transportation and Statistical Decision Theory
Annual Review of Statistics and Its Application, 2021 Unlike the real line, the real space, in dimension d ≥ 2, is not canonically ordered. As a consequence, extending to a multivariate context fundamental univariate statistical tools such as quantiles, signs, and ranks is anything but obvious.
M. Hallin
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Random Fields in Physics, Biology and Data Science
Frontiers in Physics, 2021 A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of many applications in statistical physics and ...
Enrique Hernández-Lemus +1 more
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Statistical theory of self-similarly distributed fields [PDF]
Physics Letters A, 2009 A field theory is built for self-similar statistical systems with both generating functional being the Mellin transform of the Tsallis exponential and generator of the scale transformation that is reduced to the Jackson derivate. With such a choice, the role of a fluctuating order parameter is shown to play deformed logarithm of the amplitude of a ...
Oliemskoi, Oleksandr Ivanovych +1 more
openaire +5 more sources
Journal of Applied Mathematics and Physics, 2019 The paper considers the theoretical basics and the specific mathematical techniques having been developed for solving the tasks of the stochastic data analysis within the Rice statistical model in which the output signal’s amplitude is composed as a sum ...
T. Yakovleva
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New extreme value theory for maxima of maxima
Statistical Theory and Related Fields, 2021 Although advanced statistical models have been proposed to fit complex data better, the advances of science and technology have generated more complex data, e.g., Big Data, in which existing probability theory and statistical models find their ...
Wenzhi Cao, Zhengjun Zhang
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