Strong invariance principles for triangular arrays of weakly dependent random variables

André Robert Dabrowski; Abdelhak Zoglat

doi:10.2307/3315369

Strong invariance principles for triangular arrays of weakly dependent random variables

Canadian Journal of Statistics ◽

10.2307/3315369 ◽

1995 ◽

Vol 23 (3) ◽

pp. 299-310 ◽

Cited By ~ 1

Author(s):

André Robert Dabrowski ◽

Abdelhak Zoglat

Keyword(s):

Random Variables ◽

Dependent Random Variables ◽

Invariance Principles ◽

Strong Invariance ◽

Strong Invariance Principles ◽

Triangular Arrays ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Almost Sure Invariance Principles for V-and U-Statistics Based on Weakly Dependent Random Variables

Asymptotic Statistics - Contributions to Statistics ◽

10.1007/978-3-642-57984-4_26 ◽

1994 ◽

pp. 319-327

Author(s):

Shuya Kanagawa ◽

Ken-ichi Yoshihara

Keyword(s):

Random Variables ◽

Dependent Random Variables ◽

Invariance Principles ◽

U Statistics ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Almost sure invariance principles for empirical distribution functions of weakly dependent random variables

Empirical Distributions and Processes - Lecture Notes in Mathematics ◽

10.1007/bfb0096881 ◽

1976 ◽

pp. 83-105

Author(s):

Walter Philipp

Keyword(s):

Empirical Distribution ◽

Random Variables ◽

Distribution Functions ◽

Dependent Random Variables ◽

Invariance Principles ◽

Weakly Dependent Random Variables ◽

Weakly Dependent ◽

Empirical Distribution Functions

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Invariance Principles for Independent and Weakly Dependent Random Variables

Dependence in Probability and Statistics ◽

10.1007/978-1-4615-8162-8_10 ◽

1986 ◽

pp. 225-268 ◽

Cited By ~ 24

Author(s):

Walter Philipp

Keyword(s):

Random Variables ◽

Dependent Random Variables ◽

Invariance Principles ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Strong invariance principles for dependent random variables

The Annals of Probability ◽

10.1214/009117907000000060 ◽

2007 ◽

Vol 35 (6) ◽

pp. 2294-2320 ◽

Cited By ~ 86

Author(s):

Wei Biao Wu

Keyword(s):

Random Variables ◽

Dependent Random Variables ◽

Invariance Principles ◽

Strong Invariance ◽

Strong Invariance Principles

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Almost sure invariance principles for partial sums of weakly dependent random variables

Memoirs of the American Mathematical Society ◽

10.1090/memo/0161 ◽

1975 ◽

Vol 2 (161) ◽

pp. 0-0 ◽

Cited By ~ 92

Author(s):

Walter Philipp ◽

William Stout

Keyword(s):

Random Variables ◽

Partial Sums ◽

Dependent Random Variables ◽

Invariance Principles ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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A central limit theorem for triangular arrays of weakly dependent random variables, with applications in statistics

ESAIM Probability and Statistics ◽

10.1051/ps/2011144 ◽

2013 ◽

Vol 17 ◽

pp. 120-134 ◽

Cited By ~ 13

Author(s):

Michael H. Neumann

Keyword(s):

Central Limit Theorem ◽

Limit Theorem ◽

Central Limit ◽

Random Variables ◽

Dependent Random Variables ◽

Triangular Arrays ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Stability Results and Strong Invariance Principles for Partial Sums of Banach Space Valued Random Variables

The Annals of Probability ◽

10.1214/aop/1176991512 ◽

1989 ◽

Vol 17 (1) ◽

pp. 333-352 ◽

Cited By ~ 5

Author(s):

Uwe Einmahl

Keyword(s):

Banach Space ◽

Random Variables ◽

Partial Sums ◽

Invariance Principles ◽

Strong Invariance ◽

Strong Invariance Principles ◽

Stability Results

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Limit theorems for weakly dependent random variables

Lithuanian Mathematical Journal ◽

10.1007/bf00967184 ◽

1981 ◽

Vol 20 (3) ◽

pp. 244-249 ◽

Cited By ~ 1

Author(s):

R. Lapinskas

Keyword(s):

Limit Theorems ◽

Random Variables ◽

Dependent Random Variables ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Matrix Transformations of Weakly Dependent Random Variables

Journal of the London Mathematical Society ◽

10.1112/jlms/s2-27.1.185 ◽

1983 ◽

Vol s2-27 (1) ◽

pp. 185-192

Author(s):

Ferenc Móricz

Keyword(s):

Random Variables ◽

Matrix Transformations ◽

Dependent Random Variables ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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Some limit theorems for the maximum of normalized sums of weakly dependent random variables

Proceedings of the Third Japan — USSR Symposium on Probability Theory - Lecture Notes in Mathematics ◽

10.1007/bfb0077509 ◽

1976 ◽

pp. 467-474 ◽

Cited By ~ 7

Author(s):

Hiroshi Oodaira

Keyword(s):

Limit Theorems ◽

Random Variables ◽

Dependent Random Variables ◽

Weakly Dependent Random Variables ◽

Weakly Dependent

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