Cornell University

Labor Dynamics Institute

275 Ives Faculty Building, 607-255-2744

NCRN Virtual Seminar February 5, 2014

The NSF-Census Research Network is eight nodes comprised of researchers conducting innovative, high-disciplinary investigations of theory, methodology and computational tools of interest. (http://www.ncrn.info/)

 

NCRN conducts a virtual seminar at one of the nodes, broadcast to all the others and to federal statistical agencies, every month on the first Wednesday from 3:00-4:30. Information on this month's seminar (originating from Cornell) is below.

 

http://www.ncrn.cornell.edu/index.php/ncrn-latest-news/calendar/icalrepeat.detail/2014/02/05/33/-/ncrn-virtual-seminar-boosting-models-for-edit-imputation-and-prediction-of-multiple-response-outcomes

 

NCRN Virtual Seminar: Boosting Models for Edit, Imputation and Prediction of Multiple Response Outcomes

 

Wednesday, February 05, 2014, 3:00PM - 4:30PM

 

Speakers: Ping Li (Cornell and Rutgers) and John Abowd (Cornell)

 

Abstract:

 

In this paper, we propose a statistical framework that generalizes the classical logit model to predict multiple responses (i.e., multi-label classification). We develop an effective implementation based on boosting and trees. For the NCRN seminar we present an application to editing and imputation in the multiple response race and ethnicity coding on the American Community Survey.

 

Locations:

 

- -Cornell University, Ithaca campus: Ives 381 For more locations, see

 

http://www.ncrn.info/event/ncrn-virtual-seminar-feb-5-2014

 

For information on the NSF-Census Research Network (NCRN), see http://www.ncrn.info/