scientific article; zbMATH DE number 7094441
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Publication:5229378
DOI10.4134/JKMS.J180217zbMath1427.60051MaRDI QIDQ5229378
Dung van le, Son Cong Ta, C. Tran
Publication date: 15 August 2019
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hilbert spacesweak law of large numbersweighted sumsinfinite momentscoordinatewise pairwise NQD random vectors
Related Items (7)
Limiting behavior of the partial sum for negatively superadditive dependent random vectors in Hilbert space ⋮ Generalized Marcinkiewicz Laws for Weighted Dependent Random Vectors in Hilbert Spaces ⋮ Central limit theorems for weighted sums of dependent random vectors in Hilbert spaces via the theory of the regular variation ⋮ On the almost sure convergence for sums of negatively superadditive dependent random vectors in Hilbert spaces and its application ⋮ On the convergence for weighted sums of Hilbert-valued coordinatewise pairwise NQD random variables and its application ⋮ The complete moment convergence for coordinatewise pairwise negatively quadrant dependent random vectors in Hilbert space ⋮ Unnamed Item
Cites Work
- Bootstrap for dependent Hilbert space-valued random variables with application to von Mises statistics
- Baum-Katz type theorems for coordinatewise negatively associated random vectors in Hilbert spaces
- Weak laws of large numbers for weighted independent random variables with infinite mean
- Strong convergence of pairwise NQD random sequences
- A note on the almost sure convergence for dependent random variables in a Hilbert space
- A note on the almost sure convergence of sums of negatively dependent random variables
- Weak laws of large numbers for sequences of random variables with infinite \(r\)th moments
- Negative association of random variables, with applications
- Complete convergence for coordinatewise asymptotically negatively associated random vectors in Hilbert spaces
- Limit Theorems for a Generalized ST Petersburg Game
- Some Concepts of Dependence
- Note on the Law of Large Numbers and "Fair" Games
- Probability: A Graduate Course
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