Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105470
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dc.titleDiscretization approach and nonparametric modeling for long-term HIV dynamic model
dc.contributor.authorChen, J.
dc.contributor.authorZhang, J.-T.
dc.contributor.authorWu, H.
dc.date.accessioned2014-10-28T05:16:36Z
dc.date.available2014-10-28T05:16:36Z
dc.date.issued2005
dc.identifier.citationChen, J.,Zhang, J.-T.,Wu, H. (2005). Discretization approach and nonparametric modeling for long-term HIV dynamic model. Lecture Notes in Computer Science 3483 (IV) : 519-527. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105470
dc.description.abstractModeling viral load response in long-term HIV dynamics is important for AIDS clinical study. It allows one to examine how a patient recuperates for an antiviral treatment. This paper investigates a discretization approach to the viral load based on a long-term HIV dynamic model. We propose a two-stage nonparametric procedure for estimating the viral load and the time-varying new productive virus. Simulation study shows that the proposed estimated methods are efficient and powerful for fitting long-term viral load measurements. © Springer-Verlag Berlin Heidelberg 2005.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.sourcetitleLecture Notes in Computer Science
dc.description.volume3483
dc.description.issueIV
dc.description.page519-527
dc.identifier.isiutNOT_IN_WOS
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