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Laws of large numbers for pairwise independent random variables
Tác giả:
Lê Văn Thành
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Nhà xuất bản Đại học Vinh
Quyển:
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Minh chứng:
NCKH_1523_20241114154229.pdf
Năm xuất bản:
2024
Cùng tác giả
On the Laws of Large Numbers for Double Arrays of Independent Random Elements in Banach Spaces
Weighted sums of strongly mixing random variables with an application to nonparametric regression
On the weak laws of large numbers for sums of negatively associated random vectors in Hilbert spaces
On complete convergence in mean for double sums of independent random elements in Banach spaces
Hien, Nguyen Thi Thanh; Thanh, Le Van; Van, Vo Thi Hong. On the negative dependence in Hilbert spaces with applications. Appl. Math. 64 (2019), no. 1, 45--59.
Le Van Thanh and Nguyen Thi Thuy, Necessary and sufficient conditions for complete convergence of double weighted sums of pairwise independent identically distributed random elements in Banach spaces, Acta Mathematica Hungarica, Volume 157 (2019), Issue 2, 312–326 (SCIE).
Lê Vǎn Thành and Nguyen Ngoc Tu, Error bounds in normal approximation for the squared-length of total spin in the mean field classical N-vector models, Electronic Communications in Probability, Volume 24 (2019) no. 16, 12 pp (SCIE).
Bất đẳng thức Berry-Esseen dạng không đều
On the Baum-Katz theorem for sequences of pairwise independent random variables with regularly varying normalizing constants
Về một sự mở rộng của bổ đề Borel-Cantelli đối với mảng hai chiều các biến cố phụ thuộc
The Marcinkiewicz–Zygmund-Type Strong Law of Large Numbers with General Normalizing Sequences
On convergence in mean for double arrays of pairwise independent random variables
On the error bound in the normal approximation for Jack measures
A note on the stochastic domination condition and uniform integrability with applications to the strong law of large numbers
The Hsu-Robbins-Erdös theorem for the maximum partial sums of quadruplewise independent random variables
On the (p,q)-type strong law of large numbers for sequences of independent random variables
On a new concept of stochastic domination and the laws of large numbers
On weak laws of large numbers for maximal partial sums of pairwise independent random variables
Optimal bounds in normal approximation for many interacting worlds
Optimal moment conditions for complete convergence for maximal normed weighted sums from arrays of rowwise independent random elements in Banach spaces
Mean convergence theorems for arrays of dependent random variables with applications to dependent bootstrap and non-homogeneous Markov chains
Almost sure summability of the maximal normed partial sums of m-dependent random elements in Banach spaces
Sharp sufficient conditions for mean convergence of the maximal partial sums of dependent random variables with general norming sequences
On Rio's proof of limit theorems for dependent random fields
Complete convergence for the maximal partial sums without maximal inequalities
Maximal inequalities for normed double sums of random elements in martingale type p Banach spaces with applications to degenerate mean convergence of the maximum of normed sums
Some Mean Convergence Theorems for the Maximum of Normed Double Sums of Banach Space Valued Random Elements
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