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We model dynamic directed networks via multivariate counting processes. A pseudo partial likelihood approach is exploited to capture the network dependence structure. Asymptotic results are established. Numerical experiments are performed to demonstrate the effectiveness of our proposal.<\/jats:p>","DOI":"10.1093\/biomet\/asaa045","type":"journal-article","created":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T19:23:46Z","timestamp":1590780226000},"page":"223-230","source":"Crossref","is-referenced-by-count":8,"title":["Event history analysis of dynamic networks"],"prefix":"10.1093","volume":"108","author":[{"given":"T","family":"Sit","sequence":"first","affiliation":[{"name":"Department of Statistics, The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Z","family":"Ying","sequence":"additional","affiliation":[{"name":"Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, New York 10027, U.S.A"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Warwick, Coventry CV4 7AL, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,9,24]]},"reference":[{"key":"2021030708335891000_B1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-4348-9","volume-title":"Statistical Models Based on Counting Processes","author":"Andersen,","year":"1993"},{"key":"2021030708335891000_B2","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1214\/aos\/1176345976","article-title":"Cox\u2019s regression model for counting processes: A large sample study","volume":"10","author":"Andersen,","year":"1982","journal-title":"Ann. 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