Change point detection based on method of moment estimators

10/07/2020
by   Ilia Negri, et al.
0

A change point detection procedure using the method of moment estimators is proposed. The test statistics is based on a suitable Z-process. The asymptotic behavior of this process is established under both the null and the alternative hypothesis and the consistency of the test is also proved. An estimator for the change point is proposed and its consistency is derived. Some examples of this method applied to a parametric family of random variables are presented.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/23/2020

A Data-driven Change-point Estimator

The q-weighted CUSUM and their corresponding estimator are well known st...
research
04/02/2019

Bivariate change point detection: joint detection of changes in expectation and variance

A method for change point detection is proposed. In a sequence of indepe...
research
02/20/2021

Retrain or not retrain: Conformal test martingales for change-point detection

We argue for supplementing the process of training a prediction algorith...
research
04/10/2018

Learning Latent Events from Network Message Logs: A Decomposition Based Approach

In this communication, we describe a novel technique for event mining us...
research
04/18/2022

Usage of specific attention improves change point detection

The change point is a moment of an abrupt alteration in the data distrib...
research
09/18/2023

A Change-Point Approach to Estimating the Proportion of False Null Hypotheses in Multiple Testing

For estimating the proportion of false null hypotheses in multiple testi...
research
02/17/2023

Multiple change-point detection for Poisson processes

Change-point detection aims at discovering behavior changes lying behind...

Please sign up or login with your details

Forgot password? Click here to reset