IASS Webinar 17: On calibration and balanced sampling. Webinar in memory of Jean-Claude Deville

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Date/Time
Date(s) - 25/05/2022
2:00 pm - 3:30 pm

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IASS Webinar 17: On calibration and balanced sampling. Webinar in memory of Jean-Claude Deville

25 May 2022 at 2pm – 3:30pm (CET)

All are invited to the webinar, organised by the International Association for Survey Statisticians.

 

Please register for the IASS Webinar at:

https://register.gotowebinar.com/register/4242472634100642832

 

After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.

 

Webinar Abstract

Every survey statistician knows the calibration method developed by Jean-Claude Deville and Carl-Eric Särndal. Unfortunately, Jean-Claude Deville passed away in November 2021. He was one of the most important survey statisticians of our time. This webinar is dedicated to his memory. First, we remind the most important contributions of Jean-Claude to survey statistics. Next, we focus on two of his contributions: calibration and cube method (balanced sampling). We show some very recent developments related to: 1) calibration with high-dimensional auxiliary data sets and 2) statistical matching of survey data trough calibration, optimal transport and balanced sampling.

 

Biography

Alina Matei is titular professor of statistics at the University of Neuchâtel, Switzerland. Her research interests concern multiple aspects of survey statistics, including sampling methods, nonresponse treatment, variance estimation, as well as computational statistics. Alina is associate editor for “Journal of Official Statistics” and “Survey Methodology”, and editor for books and software for “The Survey Statistician”.

 

Camelia Goga is professor of statistics at the Université de Franche-Comté, France. Her research interests include survey sampling theory, estimation issues with nonparametric and  machine learning methods.

 

Yves Tillé obtained a PhD in statistics from the Université libre de Bruxelles. From 1983 to 1996 he was an assistant and researcher at the Université libre de Bruxelles. In 1996 he was appointed lecturer at the Ecole Nationale de la Statistique et de l’Analyse de l’Information (Rennes, France) and in 2001 he joined the University of Neuchâtel, Switzerland, where he heads the Institute of Statistics. He has also taught at the University of Lille 3 and the University Pierre et Marie Curie, Paris. His research interests include survey statistics and sampling methods. He has published several books and more than 60 scientific articles.