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Time scales and gaps, Haar fluctuations and multifractal geochronologies. [PDF]
Commun Earth EnvironLovejoy S +4 more
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Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data
Silveira I +8 more
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Statistical mechanics of Laplacian fractals
Physical Review Letters, 1993no ...
Elezgaray, J. +3 more
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SDSSU MULTIDISCIPLINARY RESEARCH JOURNAL, 2015
This paper provides the statistical foundations for fractal analysis of real-life data. It begins by developing a fractal probability distribution based on a power-law formulation and proceeds by estimating the parameters through (a) maximum likelihood estimation method, (b) exponential parameter estimation, and (c) regression approach.
Adriano Patac, Jr., Roberto Padua
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This paper provides the statistical foundations for fractal analysis of real-life data. It begins by developing a fractal probability distribution based on a power-law formulation and proceeds by estimating the parameters through (a) maximum likelihood estimation method, (b) exponential parameter estimation, and (c) regression approach.
Adriano Patac, Jr., Roberto Padua
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2014
Distribution functions are used for the description of energy distribution of elementary particles, atoms, and molecules in dynamic systems. These distribution functions depend on the energy of the system and on its properties. The paper focuses on the generalization of the relationships commonly used to study the statistical properties of particles in
Oldrich Zmeskal +3 more
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Distribution functions are used for the description of energy distribution of elementary particles, atoms, and molecules in dynamic systems. These distribution functions depend on the energy of the system and on its properties. The paper focuses on the generalization of the relationships commonly used to study the statistical properties of particles in
Oldrich Zmeskal +3 more
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On fractal yield models: a statistical paradox
IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems, 2002Although the fractal yield model is very successful in VLSI applications, it also exposes a mathematical inconsistency. Expressing the average number of faults in each sub array, the average number of faults in the complete array, according to this approach, is not statistically correct. This, therefore, is a fractal paradox.
Charles H. Stapper, A. J. Rideout
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Statistical arbitrage under a fractal price model
Annals of Operations Research, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yun Xiang, Shijie Deng
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