Almost sure convergence for weighted sums of pairwise PQD random variables

12/24/2018
by   João Lita da Silva, et al.
0

We obtain Marcinkiewicz-Zygmund strong laws of large numbers for weighted sums of pairwise positively quadrant dependent random variables stochastically dominated by a random variable X ∈L_p, 1 ≤ p < 2. We use our results to establish the strong consistency of estimators which emerge from regression models having pairwise positively quadrant dependent errors.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/04/2022

What Intraclass Covariance Structures Can Symmetric Bernoulli Random Variables Have?

The covariance matrix of random variables X_1,…,X_n is said to have an i...
research
12/13/2020

Pseudo-likelihood-based M-estimation of random graphs with dependent edges and parameter vectors of increasing dimension

An important question in statistical network analysis is how to estimate...
research
06/06/2019

Laws of large numbers for stochastic orders

We establish laws of large numbers for comparing sums of i.i.d. random v...
research
09/09/2022

Strong uniform laws of large numbers for bootstrap means and other randomly weighted sums

This article establishes novel strong uniform laws of large numbers for ...
research
10/19/2016

Consistent Kernel Mean Estimation for Functions of Random Variables

We provide a theoretical foundation for non-parametric estimation of fun...
research
07/21/2023

Topological reconstruction of compact supports of dependent stationary random variables

In this paper we extend results on reconstruction of probabilistic suppo...
research
12/23/2020

Strong Laws of Large Numbers for Generalizations of Fréchet Mean Sets

A Fréchet mean of a random variable Y with values in a metric space (𝒬, ...

Please sign up or login with your details

Forgot password? Click here to reset