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Stochastic Comparisons of Weighted Sums of Random Variables

BOOK CHAPTER published 2022 in Stochastic Comparisons with Applications

Authors: Subhash C. Kochar

On the central limit theorem for weakly dependent sequences with a decomposed strong mixing coefficient

JOURNAL ARTICLE published September 1992 in Stochastic Processes and their Applications

Authors: Magda Peligrad

The Strong Law of Large Numbers for Negatively Dependent Generalized Gaussian Random Variables

JOURNAL ARTICLE published January 2004 in Stochastic Analysis and Applications

Authors: M. Amini | H. A. Azarnoosh | A. Bozorgnia

Existence of Moments of Suprema of Multi-Indexed Sums and the Strong Law of Large Numbers

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

The Law of Large Numbers for Multi-Indexed Sums of Independent Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Strong Limit Theorems for Sums of Random Variables Defined on a Finite Markov Chain

BOOK CHAPTER published 1987 in Advances in the Statistical Sciences: Applied Probability, Stochastic Processes, and Sampling Theory

Authors: Colin M. Ramsay

5. Central limit theorems for dependent random variables

BOOK CHAPTER published 26 September 2016 in Weak Convergence of Stochastic Processes

Laws of large numbers, uncorrelation, and convergence of weighted sums of random variables

BOOK CHAPTER published 1978 in Lecture Notes in Mathematics

Authors: Robert L. Taylor

A strong law of large numbers for arrays of rowwise negatively dependent random variables

JOURNAL ARTICLE published 1 January 2002 in Stochastic Analysis and Applications

Authors: Ronald F. Patterson | Abolghassem Bozorgnia | Robert L. Taylor

Central limit theorems for sums of α-mixing random variables

JOURNAL ARTICLE published November 1996 in Stochastics and Stochastic Reports

Authors: Liebscher Eckhard

Rate of escape and central limit theorem for the supercritical Lamperti problem

JOURNAL ARTICLE published September 2010 in Stochastic Processes and their Applications

Authors: Mikhail V. Menshikov | Andrew R. Wade

Ergodic theorems for extended real-valued random variables

JOURNAL ARTICLE published September 2010 in Stochastic Processes and their Applications

Authors: Christian Hess | Raffaello Seri | Christine Choirat

On the Strong Rates of Convergence for Arrays of Rowwise Negatively Dependent Random Variables

JOURNAL ARTICLE published 20 April 2011 in Stochastic Analysis and Applications

Authors: Qiu Dehua | Kuang-Chao Chang | Rita Giuliano Antonini | Andrei Volodin

Three Elementary Proofs of the Central Limit Theorem with Applications to Random Sums

BOOK CHAPTER published 1998 in Stochastic Processes and Related Topics

Authors: T. Cacoullos | N. Papadatos | V. Papathanasiou

Strong approximation and a central limit theorem for St. Petersburg sums

JOURNAL ARTICLE published November 2019 in Stochastic Processes and their Applications

Research funded by Nemzeti Kutatási Fejlesztési és Innovációs Hivatal (K 125569)

Authors: I. Berkes

Remarks on the central limit theorem for weakly dependent random variables

BOOK CHAPTER published 1986 in Stochastic Processes — Mathematics and Physics

Authors: Detlef Dürr | Sheldon Goldstein

Some Remarks on the Theory of Limit Theorems for Multi-Indexed Sums

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Boundedness of Multi-Indexed Series of Independent Random Variables

BOOK CHAPTER published 2014 in Limit Theorems for Multi-Indexed Sums of Random Variables

Authors: Oleg Klesov

Lim sup behavior of sums of geometrically weighted i.i.d. random variables

JOURNAL ARTICLE published August 1981 in Stochastic Processes and their Applications

Authors: Andrew Rosalsky

The central limit theorem for sums of trimmed variables with heavy tails

JOURNAL ARTICLE published February 2012 in Stochastic Processes and their Applications

Research funded by FWF (S9603-N23) | OTKA (K67961,K81928) | NSF (DMS 0905400)

Authors: István Berkes | Lajos Horváth