Multiscale Tests for Point Processes and Longitudinal Networks

Fuente: arXiv
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Autores principales: Jiang, Youmeng, Xu, Min
Formato: Preprint
Publicado: 2024
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author Jiang, Youmeng
Xu, Min
author_facet Jiang, Youmeng
Xu, Min
contents We propose a new testing framework applicable to both the two-sample problem on point processes and the community detection problem on rectangular arrays of point processes, which we refer to as longitudinal networks; the latter problem is useful in situations where we observe interactions among a group of individuals over time. Our framework is based on a multiscale discretization scheme that consider not just the global null but also a collection of nulls local to small regions in the domain; in the two-sample problem, the local rejections tell us where the intensity functions differ and in the longitudinal network problem, the local rejections tell us when the community structure is most salient. We provide theoretical analysis for the two-sample problem and show that our method has minimax optimal power under a Holder continuity condition. We provide extensive simulation and real data analysis demonstrating the practicality of our proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2406_03681
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multiscale Tests for Point Processes and Longitudinal Networks
Jiang, Youmeng
Xu, Min
Methodology
Statistics Theory
62Mxx
We propose a new testing framework applicable to both the two-sample problem on point processes and the community detection problem on rectangular arrays of point processes, which we refer to as longitudinal networks; the latter problem is useful in situations where we observe interactions among a group of individuals over time. Our framework is based on a multiscale discretization scheme that consider not just the global null but also a collection of nulls local to small regions in the domain; in the two-sample problem, the local rejections tell us where the intensity functions differ and in the longitudinal network problem, the local rejections tell us when the community structure is most salient. We provide theoretical analysis for the two-sample problem and show that our method has minimax optimal power under a Holder continuity condition. We provide extensive simulation and real data analysis demonstrating the practicality of our proposed method.
title Multiscale Tests for Point Processes and Longitudinal Networks
topic Methodology
Statistics Theory
62Mxx
url https://arxiv.org/abs/2406.03681