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dc.contributor.authorMa, Yanyuan
dc.contributor.authorHart, Jeffrey D.
dc.contributor.authorCarroll, Raymond J.
dc.date.accessioned2016-02-25T12:59:00Z
dc.date.available2016-02-25T12:59:00Z
dc.date.issued2011-09
dc.identifier.citationMa Y, Hart JD, Carroll RJ (2011) Density Estimation in Several Populations With Uncertain Population Membership. Journal of the American Statistical Association 106: 1180–1192. Available: http://dx.doi.org/10.1198/jasa.2011.tm10798.
dc.identifier.issn0162-1459
dc.identifier.issn1537-274X
dc.identifier.pmid22368314
dc.identifier.doi10.1198/jasa.2011.tm10798
dc.identifier.urihttp://hdl.handle.net/10754/597926
dc.description.abstractWe devise methods to estimate probability density functions of several populations using observations with uncertain population membership, meaning from which population an observation comes is unknown. The probability of an observation being sampled from any given population can be calculated. We develop general estimation procedures and bandwidth selection methods for our setting. We establish large-sample properties and study finite-sample performance using simulation studies. We illustrate our methods with data from a nutrition study.
dc.description.sponsorshipThis publication is based in part on work supported by King Abdullah University of Science and Technology (award KUS-CI-016-04).
dc.publisherInforma UK Limited
dc.subjectCross-validation
dc.subjectLeast squares
dc.subjectPlug-in method
dc.subjectUncertain sample
dc.titleDensity Estimation in Several Populations With Uncertain Population Membership
dc.typeArticle
dc.identifier.journalJournal of the American Statistical Association
dc.identifier.pmcidPMC3285389
dc.contributor.institutionDepartment of Statistics, Texas A&M University, College Station, TX 77843-3143.
kaust.grant.numberKUS-CI-016-04


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