Skip to main content

Multi-Agent Inference in Social Networks: A Finite Population Learning Approach

Author(s): Fan, Jianqing; Tong, Xin; Zeng, Yao

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1zw9z
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFan, Jianqingen_US
dc.contributor.authorTong, Xinen_US
dc.contributor.authorZeng, Yaoen_US
dc.date.accessioned2018-07-20T15:06:54Z-
dc.date.available2018-07-20T15:06:54Z-
dc.date.issued2015-01-02en_US
dc.identifier.citationFan, Jianqing, Tong, Xin, Zeng, Yao. (2015). Multi-Agent Inference in Social Networks: A Finite Population Learning Approach. Journal of the American Statistical Association, 110 (509), 149 - 158. doi:10.1080/01621459.2014.893885en_US
dc.identifier.issn0162-1459en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1zw9z-
dc.format.extent149 - 158en_US
dc.relation.ispartofJournal of the American Statistical Associationen_US
dc.titleMulti-Agent Inference in Social Networks: A Finite Population Learning Approachen_US
dc.typeJournal Article-
dc.identifier.doidoi:10.1080/01621459.2014.893885en_US
dc.date.eissued2015-04-22en_US
dc.identifier.eissn1537-274Xen_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
Multi-Agent Inference in Social Networks A Finite Population Learning Approach.pdf684.16 kBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.