Results 21 to 30 of about 9,261,553 (282)
Logarithmic speeds for one-dimensional perturbed random walk in random environment [PDF]
, 2008 We study the random walk in random environment on Z+ = f0; 1; 2; : : :g, where the environment is subject to a vanishing (random) perturbation. The two particular cases that we consider are: (i) random walk in random environment perturbed from Sinai's ...
Menshikov, M. V., Wade, Andrew R.
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Journal of Inequalities and Applications, 2017 In this paper, we study the complete convergence and complete moment convergence for weighted sums of extended negatively dependent (END) random variables under sub-linear expectations space with the condition of C V [ | X | p l ( | X | 1 / α ) ] < ∞ $C_{
Haoyuan Zhong, Qunying Wu
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Non-homogeneous random walks with non-integrable increments and heavy-tailed random walks on strips [PDF]
, 2012 We study asymptotic properties of spatially non-homogeneous random walks with non-integrable increments, including transience, almost-sure bounds, and existence and non existence of moments for first-passage and last-exit times.
MacPhee, Iain M. +9 more
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RAGE: A Java-implemented Visual Random Generator
Journal of Statistical Software, 2007 Carefully designed Java applications turn out to be efficient and platform independent tools that can compete well with classical implementations of statistical software.
Carlos Javier P´erez +2 more
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Abelian sharing, common informations, and linear rank inequalities
Journal of Mathematical Cryptology, 2022 Dougherty et al. introduced the common information (CI) method as a method to produce non-Shannon inequalities satisfied by linear random variables, which are called linear rank inequalities.
Mejia Carolina, Montoya Juan Andres
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Journal of Mathematical Analysis and Applications, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Shijie, Wang, Xuejun
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AIMS Mathematics, 2023 <abstract><p>The focus of our work is to investigate exponential inequalities for extended negatively dependent (END) random variables in sub-linear expectations. Through these exponential inequalities, we were able to establish the strong law of large numbers with convergence rate $ O\left(n^{-1/2}\ln^{1/2}n\right) $.
Haiye Liang, Feng Sun
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Advances in Mechanical Engineering, 2016 Aiming to resolve the problems of a variety of uncertainty variables that coexist in the engineering structure reliability analysis, a new hybrid reliability index to evaluate structural hybrid reliability, based on the random–fuzzy–interval model, is ...
Hai An, Ling Zhou, Hui Sun
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A convergence of fuzzy random variables [PDF]
, 2003 summary:In this paper, a general convergence theorem of fuzzy random variables is considered. Using this result, we can easily prove the recent result of Joo et al, which gives generalization of a strong law of large numbers for sums of stationary and ...
Hong, Dug Hun, Kim, Kyung Tae
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Machine learning to predict end stage kidney disease in chronic kidney disease
Scientific Reports, 2022 The purpose of this study was to assess the feasibility of machine learning (ML) in predicting the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease (CKD). Data were obtained from a longitudinal CKD cohort.
Qiong Bai, Chunyan Su, Wen Tang, Yike Li
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