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The inferior olive transforms upstream sensorimotor errors into cerebellar teaching signals

Mullen P, Shaweis H, Zwart M.
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Strong laws of large numbers for sub-linear expectation without independence

Communications in Statistics - Theory and Methods, 2017
ABSTRACTIn this paper, we investigate some strong laws of large numbers for sub-linear expectation without independence which generalize the classical ones. We give some strong laws of large numbers for sub-linear expectation on some moment conditions with respect to the partial sum and some conditions similar to Petrov’s.
Cheng Hu, Zengjing Chen
exaly   +2 more sources

Another form of Chover’s law of the iterated logarithm under sub-linear expectations

Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales - Serie A: Matematicas, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qunying Wu, Wu Qunying
exaly   +3 more sources

Quantiles under the sub-linear expectations

Statistical Papers
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Anna Kuczmaszewska
exaly   +2 more sources

A strong law of large numbers for sub-linear expectation under a general moment condition

Statistics and Probability Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng Hu
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General results on precise asymptotics under sub-linear expectations

Journal of Mathematical Analysis and Applications, 2022
The paper investigates the precise asymptotics for the complete convergence and complete integral convergence under sub-linear expectations. Some general results are obtained, which improve and extend some existing ones in classical probability space and sub-linear expectation space.
Wu, Yi, Wang, Xuejun
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Heyde’s theorem under the sub-linear expectations

Statistics & Probability Letters, 2021
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The Law of Logarithm for Arrays of Random Variables under Sub-linear Expectations

Acta Mathematicae Applicatae Sinica, English Series, 2020
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Xu, Jia-pan, Zhang, Li-xin
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Precise asymptotics for maxima of partial sums under sub-linear expectation

Communications in Statistics - Theory and Methods
Xue Ding
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