The Kolmogrov–Feller type weak law of large numbers for APND random variables
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Publication:5057340
DOI10.1080/03610926.2021.1901922OpenAlexW3139417896MaRDI QIDQ5057340
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Publication date: 16 December 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1901922
random elementsEND random variablesstochastically boundedAPND random variablesKolmogrov-Feller weak law of large numbers
Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12) (L^p)-limit theorems (60F25)
Cites Work
- An introduction to copulas.
- Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables
- Precise large deviations for dependent random variables with heavy tails
- Negative association of random variables, with applications
- Negative dependence in banach spaces and laws of large numbers
- Strong laws of large numbers for negatively dependent random elements
- Complete convergence for weighted sums of arrays of APND random variables
- Some Concepts of Dependence
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