On complete convergence of normed sums of random variables irrespective of their joint distributions
From MaRDI portal
Publication:6667751
DOI10.1007/S12215-024-01135-YMaRDI QIDQ6667751
Publication date: 20 January 2025
Published in: Rendiconti del Circolo Matematico di Palermo (Search for Journal in Brave)
numbersrates of convergencestrong limit theoremsirrespective of the joint distributionsKatz-Spitzer type law of large
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- On the strong law of large numbers for identically distributed random variables irrespective of their joint distributions
- A strong law for a set-indexed partial sum process with applications to exchangeable and stationary sequences
- On the law of large numbers for stationary sequences
- Complete convergence for arrays
- On the almost certain limiting behavior of normed sums of identically distributed positive random variables
- A lower bound for the tail probability of partial maxima of dependent random variables and applications
- On convergence rates in the Marcinkiewicz-Zygmund strong law of large numbers
- On a weak law of large numbers with regularly varying normalizing sequences
- Limit theorems for dependent random variables with infinite means
- On the strong law of large numbers for pairwise i.i.d. random variables with general moment conditions
- Strong Limit Theorems for Blockwise m-Dependent and Blockwise Quasiorthogonal Sequences of Random Variables
- On a Theorem of Feller
- A Note on the Strong Law of Large Numbers
- A Limit Theoerm for Random Variables with Infinite Moments
- On a new concept of stochastic domination and the laws of large numbers
- Complete convergence for the maximal partial sums without maximal inequalities
This page was built for publication: On complete convergence of normed sums of random variables irrespective of their joint distributions
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6667751)