activity
20042022
most citedSequential multi-sensor change-point detection

151 citations · 286 across the 9 of their papers we have counts for

collaborators

9 papers

math.ST2022

Sequential Detection of Transient Signals in High Dimensional Data Stream

Yanhong Wu, David Siegmund

Motivated by sequential detection of transient signals in high dimensional data stream, we study the performance of EWMA, MA, CUSUM, and GLRT charts for detecting a transient signa…

math.ST2020★ 2 cited

Detection and Estimation of Local Signals

Xiao Fang, David Siegmund

We study the maximum score statistic to detect and estimate local signals in the form of change-points in the level, slope, or other property of a sequence of observations, and to…

math.ST2016★ 3 cited

Segmentation and Estimation of Change-point Models: False Positive Control and Confidence Regions

Xiao Fang, Jian Li, David Siegmund

To segment a sequence of independent random variables at an unknown number of change-points, we introduce new procedures that are based on thresholding the likelihood ratio statist…

math.ST2014★ 41 cited

Higher criticism: -values and criticism

Jian Li, David Siegmund

This paper compares the higher criticism statistic (Donoho and Jin [Ann. Statist. 32 (2004) 962-994]), a modification of the higher criticism statistic also suggested by Donoho and…

stat.AP2014

Scanning a Poisson Random Field for Local Signals

Nancy R. Zhang, Benjamin Yakir, Charlie L. Xia +1

The detection of local genomic signals using high-throughput DNA sequencing data can be cast as a problem of scanning a Poisson random field for local changes in the rate of the pr…

math.PR2014★ 1 cited

Poisson approximation for two scan statistics with rates of convergence

Xiao Fang, David Siegmund

As an application of Stein's method for Poisson approximation, we prove rates of convergence for the tail probabilities of two scan statistics that have been suggested for detectin…