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The proposed methods are applicable under general temporal-spatial dependence. A new test statistic is introduced for changepoint detection, and its asymptotic distribution is established. If a changepoint is detected, an estimate of the location is provided. The rate of convergence of the estimator is shown to depend on the data dimension, sample size, and signal-to-noise ratio. Binary segmentation is used to estimate the locations of possibly multiple changepoints, and the corresponding estimator is shown to be consistent under mild conditions. Simulation studies provide the empirical size and power of the proposed test and the accuracy of the changepoint estimator. An application to a time-course microarray dataset identifies gene sets with significant gene interaction changes over time.<\/jats:p>","DOI":"10.1093\/biomet\/asz011","type":"journal-article","created":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T15:11:17Z","timestamp":1557241877000},"page":"619-634","source":"Crossref","is-referenced-by-count":22,"title":["Homogeneity tests of covariance matrices with high-dimensional longitudinal data"],"prefix":"10.1093","volume":"106","author":[{"given":"Ping-Shou","family":"Zhong","sequence":"first","affiliation":[{"name":"Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, Illinois 60607, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runze","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Statistics and The Methodology Center, Pennsylvania State University, University Park, Pennsylvania 16801, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shawn","family":"Santo","sequence":"additional","affiliation":[{"name":"Department of Statistics and Probability, Michigan State University, 619 Red Cedar Road, East Lansing, Michigan 48824, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"key":"2019091012113053400_B1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene ontology: Tool for the unification of biology","volume":"25","author":"Ashburner,","year":"2000","journal-title":"Nature Genet."},{"key":"2019091012113053400_B2","doi-asserted-by":"crossref","first-page":"4046","DOI":"10.1214\/09-AOS707","article-title":"Break detection in the covariance structure of multivariate time series models","volume":"37","author":"Aue,","year":"2009","journal-title":"Ann. 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