Asymptotic Behaviour of the Empirical Distance Covariance for Dependent Data

07/17/2020
by   Marius Kroll, et al.
0

We give two asymptotic results for the distance covariance on separable metric spaces without any iid assumptions. In particular, we show the almost sure convergence of the empirical distance covariance under ergodicity for any measure with finite first moments. We further give a result concerning the asymptotic distribution of the empirical distance covariance under the assumption of absolute regularity and extend these results to certain types of pseudometric spaces. In the process, we derive a general theorem concerning the asymptotic distribution of degenerate V-statistics of order 2 under a strong mixing condition.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/28/2021

Block Bootstrapping the Empirical Distance Covariance

We prove the validity of a non-overlapping block bootstrap for the empir...
research
02/25/2022

Empirical spectral processes for stationary state space processes

In this paper, we consider function-indexed normalized weighted integrat...
research
03/24/2018

Asymptotic Representations of Statistics in the Functional Empirical process : A portal and some applications

In this research monograph, we deal with a very general asymptotic repre...
research
02/20/2023

U-statistics of local sample moments under weak dependence

In this paper, we study the asymptotic distribution of some U-statistics...
research
03/04/2020

The empirical Christoffel function with applications in data analysis

We illustrate the potential applications in machine learning of the Chri...
research
05/24/2023

Interpretation and visualization of distance covariance through additive decomposition of correlations formula

Distance covariance is a widely used statistical methodology for testing...

Please sign up or login with your details

Forgot password? Click here to reset