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題名 Estimating Links of a Network from Time to Event Data
作者 顏佑銘
Yen, Tso-Jung
Lee, Zong-Rong
Chen, Yi-Hau
Yen, Yu-Min
Hwang, Jing-Shiang
貢獻者 國貿系
日期 2017-02
上傳時間 6-Sep-2017 16:35:56 (UTC+8)
摘要 In this paper we develop a statistical method for identifying links of a network from time to event data. This method models the hazard function of a node conditional on event time of other nodes, parameterizing the conditional hazard function with the links of the network. It then estimates the hazard function by maximizing a pseudo partial likelihood function with parameters subject to a user-specified penalty function and additional constraints. To make such estimation robust, it adopts a pre-specified risk control on the number of false discovered links by using the Stability Selection method. Simulation study shows that under this hybrid procedure, the number of false discovered links is tightly controlled while the true links are well recovered. We apply our method to estimate a political cohesion network that drives donation behavior of 146 firms from the data collected during the 2008 Taiwanese legislative election. The results show that firms affiliated with elite organizations or firms of monopoly are more likely to diffuse donation behavior. In contrast, firms belonging to technology industry are more likely to act independently on donation.
關聯 The Annals of Applied Statistics, Vol. 11, No. 3, 1429–1451
資料類型 article
dc.contributor 國貿系zh_TW
dc.creator (作者) 顏佑銘zh_TW
dc.creator (作者) Yen, Tso-Jungen_US
dc.creator (作者) Lee, Zong-Rongen_US
dc.creator (作者) Chen, Yi-Hauen_US
dc.creator (作者) Yen, Yu-Minen_US
dc.creator (作者) Hwang, Jing-Shiangen_US
dc.date (日期) 2017-02-
dc.date.accessioned 6-Sep-2017 16:35:56 (UTC+8)-
dc.date.available 6-Sep-2017 16:35:56 (UTC+8)-
dc.date.issued (上傳時間) 6-Sep-2017 16:35:56 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/112546-
dc.description.abstract (摘要) In this paper we develop a statistical method for identifying links of a network from time to event data. This method models the hazard function of a node conditional on event time of other nodes, parameterizing the conditional hazard function with the links of the network. It then estimates the hazard function by maximizing a pseudo partial likelihood function with parameters subject to a user-specified penalty function and additional constraints. To make such estimation robust, it adopts a pre-specified risk control on the number of false discovered links by using the Stability Selection method. Simulation study shows that under this hybrid procedure, the number of false discovered links is tightly controlled while the true links are well recovered. We apply our method to estimate a political cohesion network that drives donation behavior of 146 firms from the data collected during the 2008 Taiwanese legislative election. The results show that firms affiliated with elite organizations or firms of monopoly are more likely to diffuse donation behavior. In contrast, firms belonging to technology industry are more likely to act independently on donation.-
dc.format.extent 102 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The Annals of Applied Statistics, Vol. 11, No. 3, 1429–1451en_US
dc.title (題名) Estimating Links of a Network from Time to Event Dataen_US
dc.type (資料類型) article-