Results 11 to 20 of about 166,913,906 (202)
Uniform strong law of large numbers [PDF]
We prove the strong law of large numbers for random signed measures.
Klesov, O. I. +2 more
core +2 more sources
Non-homogeneous random walks with non-integrable increments and heavy-tailed random walks on strips [PDF]
We study asymptotic properties of spatially non-homogeneous random walks with non-integrable increments, including transience, almost-sure bounds, and existence and non existence of moments for first-passage and last-exit times.
MacPhee, Iain M. +9 more
core +4 more sources
Preparing Students for the Future: Extreme Events and Power Tails
We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities ...
Marek Arendarczyk +2 more
doaj +1 more source
Permutation Invariant Strong Law of Large Numbers for Exchangeable Sequences
We provide a permutation invariant version of the strong law of large numbers for exchangeable sequences of random variables. The proof consists of a combination of the Komlós–Berkes theorem, the usual strong law of large numbers for exchangeable ...
Stefan Tappe
doaj +1 more source
Chance and The Statistical Law of Large Numbers
In this work we look at one special case to provide a rational basis for the following assertion known as Statistical Law of Large Numbers: If an event E has a constant probability p of occurrence on any one trial, and has occurred m times in n ...
R. D’Amico
semanticscholar +1 more source
Quantum Law of Large Numbers for Banach Spaces [PDF]
We consider random operators \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin ...
S. V. Dzhenzher, V. Sakbaev
semanticscholar +1 more source
On Strong Law of Large Numbers for Dependent Random Variables
We discuss strong law of large numbers and complete convergence for sums of uniformly bounded negatively associate (NA) random variables (RVs). We extend and generalize some recent results.
Wang Zhongzhi
doaj +2 more sources
On the Law of Large Numbers and Convergence Rates for the Discrete Fourier Transform of Random Fields [PDF]
We study the Marcinkiewicz-Zygmund strong law of large numbers for the cubic partial sums of the discrete Fourier transform of random fields. We establish Marcinkiewicz-Zygmund types rate of convergence for the discrete Fourier transform of random fields
Vishakha
semanticscholar +1 more source
$T$-law of large numbers for fuzzy numbers [PDF]
summary:The notions of a $t$-norm and of a fuzzy number are recalled. The law of large numbers for fuzzy numbers is defined. The fuzzy numbers, for which the law of large numbers holds, are investigated. The case when the law of large numbers is violated
MARKOVASTUPNANOVA, A +4 more
core +1 more source
On conditions for the strong law of large numbers in general Banach spaces
We give Chung-Teicher type conditions for the SLLN in general Banach spaces under the assumption that the weak law of large numbers holds. An example is provided showing that these conditions can hold when some earlier known conditions fail.
Anna Kuczmaszewska, Dominik Szynal
doaj +1 more source

