[Statlist] Seminar - survey sampling 28.11.2024

[MATEI Alina Gabriela]

The Institute of Statistics, University of Neuchâtel is organizing on Thursday, November 28, 2024 at 11:00 the seminar "Debiased calibration estimation using generalized entropy under selection bias" by Jae-Kwang Kim (Iowa State University). 

The seminar is hybrid (face-to-face and online). See the room and link below.

Abstract: 
Incorporating the auxiliary information into the survey estimation is a fundamental problem in survey sampling. Calibration weighting is a popular tool for incorporating the auxiliary information.  The calibration weighting method of Deville and Sarndal (1992) uses a distance measure between the design weights and the final weights to solve the optimization problem with calibration constraints. We propose a new framework using generalized entropy as the objective function for optimization. Design weights are used in the constraints, rather than in the objective function, to achieve design consistency. The new calibration framework is attractive as it is general and can produce more efficient calibration weights than the classical calibration weights. Furthermore, we identify the optimal choice of the generalized entropy function that achieves the minimum variance among the different choices of the generalized entropy function under the same constraints. Asymptotic properties, such as design consistency and asymptotic normality, are presented rigorously. An extension of the proposed method to doubly robust propensity score estimation will also be presented. 

Room : GB31-33, Faculté des Sciences, Bâtiment G, Av. des Bellevaux 51, 2000, Neuchâtel

Join link:
https://unine.webex.com/unine/j.php?MTID=m9e758ec16726ff97cdf5c1e7472797c3

Webinar number:
2744 693 0029

Webinar password: 
ypMpB5nmM37 (97672566 when dialing from a video system)

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