scientific article
From MaRDI portal
Publication:3476066
zbMath0698.60025MaRDI QIDQ3476066
Publication date: 1988
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
convergence rateinvariance principleMarcinkiewicz-Zygmund type inequality\(\phi\)-mixing sequencestype p Banach space
Related Items (42)
Convergence rate for weighted sums of ψ-mixing random variables and applications ⋮ The strong law of \(U\)-statistics with \(\varphi\)-mixing samples ⋮ Uniformly asymptotic normality of the weighted estimator in nonparametric regression model with \(\varphi\)-mixing errors ⋮ Moment convergence rates in the law of iterated logarithm for moving average process under dependence ⋮ Maximal moment inequality for partial sums of strong mixing sequences and application ⋮ The Spitzer law for ψ-mixing random variables ⋮ Almost sure convergence for weighted sums of φ-mixing random variables with applications ⋮ Strong laws for weighted sums of \(\psi \)-mixing random variables and applications in errors-in-variables regression models ⋮ Complete convergence of moving average processes under dependence assumptions ⋮ On inverse moments for a class of nonnegative random variables ⋮ Some Baum-Katz type results for \({\varphi}\)-mixing random variables with different distributions ⋮ Precise asymptotics of complete moment convergence on moving average ⋮ On moments of the maximum of partial sums of moving average processes under dependence assumptions ⋮ Precise asymptotics in the law of the iterated logarithm of moving-average processes ⋮ Rosenthal-type inequalities for the maximum of partial sums of stationary processes and examples ⋮ On complete convergence of moving average process for AANA sequence ⋮ Complete moment convergence of weighted sums for arrays of rowwise \(\varphi\)-mixing random variables ⋮ Complete convergence of weighted sums for arrays of rowwise \(\varphi \)-mixing random variables. ⋮ A Marcinkiewicz-Zygmund type strong law for weighted sums of \(\phi \)-mixing random variables and its applications ⋮ Precise asymptotics in the law of iterated logarithm for moving average process under dependence ⋮ Complete moment convergence for sequence of identically distributed \(\varphi \)-mixing random variables ⋮ A note on the rates of convergence for weighted sums of \(\rho^\ast\)-mixing random variables ⋮ Complete convergence for \(\alpha{}\)-mixing sequences ⋮ Complete moment convergence of moving average processes under \(\varphi \)-mixing assumptions ⋮ Complete convergence for moving average process of martingale differences ⋮ Strong stability of linear forms in φ-mixing random variables ⋮ Moment inequalities for mixing long-span high-frequency data and strongly consistent estimation of OU integrated diffusion process ⋮ Asymptotics for moving average processes with dependent innovations ⋮ Exponential inequalities for associated random variables and strong laws of large numbers ⋮ Strong law of large numbers and complete convergence for sequences of φ-mixing random variables ⋮ On the Hàjek-Rènyi inequality ⋮ Limiting behaviour of moving average processes under \(\varphi \)-mixing assumption ⋮ Complete \(q\)-order moment convergence of moving average processes under \(\varphi \)-mixing assumptions. ⋮ Maximal inequalities for some dependent sequences and their applications ⋮ Nonparametric estimation of expected shortfall via Bahadur-type representation and Berry–Esséen bounds ⋮ A maximal moment inequality for \(\alpha \)-mixing sequences and its applications ⋮ Moment inequalities and complete moment convergence ⋮ Maximal moment inequality for partial sums of ρ-mixing sequences and its applications ⋮ The Bahadur representation of sample quantiles for φ-mixing random variables and its application ⋮ Almost sure invariance principles for mixing sequences of random variables ⋮ Bootstrapping the sample means for stationary mixing sequences ⋮ Moment inequalities for the partial sums of random variables
This page was built for publication: