SAE2017, a Satellite Meeting of the 61st International Statistical Institute (ISI) World Statistics Congress on Small Area Estimation, will be held on July 10-12 on the Jussieu Campus of Université Pierre et Marie Curie in Paris, France.
For abstract submission, registration and more information, please visit http://sae2017.ensai.fr/
The Keynote Speakers of SAE2017 are Partha Lahiri, University of Maryland, USA, and Danny Pfeffermann, National Statistician of Israel and Professor, Hebrew University of Jerusalem, Israel and Southampton Statistical Science Research Institute, United Kingdom.
There are seven Plenary Invited Sessions and a number of Special Topic and Contributed Sessions at SAE2017.
Planning and evaluation of government programs usually require access to a wide range of national and sub-national socio-economic, environmental and health related statistics. There is, however, a growing need for statistics relating to much smaller geographical areas, where data are too sparse to support the sort of standard estimation methods typically employed at national level. These ‘small area’ official statistics are routinely used for a variety of purposes, including assessing economic well-being of a nation, making public policies, and allocating funds in various government programs. In this context, the term small area typically refers to a subpopulation for which reliable statistics of interest cannot be produced using the limited area specific data available from the primary data source. With the rapid development of survey methodology, different governmental agencies are now exploring ways of combining national survey data with administrative and census records to produce reliable small area statistics. The field of small area estimation (SAE) research is quickly expanding to meet this demand, and is constantly tackling practical problems that are both theoretically and computationally challenging. Furthermore, in recent years, new and challenging problems in SAE have emerged that are associated with Big Data, confidentiality protection, record linkage or interaction between SAE and other fields, where ideas of SAE are applicable, but not without further methodological and computational development.
The main purpose of SAE2017 is to assess the current state of development and usage of small area methodology, and to discuss problems and solutions to the challenging problems mentioned above. We hope that this meeting will serve as a bridge between statisticians and practitioners working on SAE in academia, private and government agencies as well as in other fields. Although there have been conferences on SAE topics in recent years, the new and emerging challenges in SAE and from other fields that could benefit from the ideas and methods developed in SAE fully justify another SAE conference, taking advantage of the 61st ISI World Statistics Congress. Holding the meeting in Paris will give researchers from France and Europe as well as other parts of the world an opportunity to learn about state-of- the-art SAE techniques from the experts in the field, and potential usefulness and opportunities of using these techniques in solving their own practical problems.
Compared to the previous SAE conferences, SAE2017 is the first one that has a clear focus on Big Data, as well as interaction of SAE with other fields. These new focuses are not only in line with the global trend of a new era, but will also make long‐lasting impact on the practice of SAE, and on future SAE conferences.
The Scientific Program Committee of SAE2017 consists of the following members: Jiming Jiang (Chair), University of California, Davis, USA; Jan A. van den Brakel, Maastricht University, The Netherlands; Julie Gershunskaya, Bureau of Labor Statistics, USA; Stephen Haslett, Australian National University, Australia; Risto Lehtonen, University of Helsinki, Finland; Domingo Morales, Universidad Miguel Hernandez de Elche, Spain; Ralf Munnich, University of Trier, Germany; Valentin Patilea, ENSAI, France; Monica Pratesi, Universita di Pisa, Italy; Junni Zhang, Peking University, China.
In addition, there is an Advisory Board for SAE2017 that consists of the following members: Raymond Chambers, University of Wollongong, Australia; Graham Kalton, Westat, USA; Partha Lahiri, University of Maryland, College Park, USA; Thomas Louis, Johns Hopkins University, USA; Danny Pfeffermann, Chief Government Statistician of Israel, Israel; J. N. K. Rao, Carleton University, Canada.
The conference is organized by Ensai (Ecole Nationale de la Statistique et de l’Analyse de l’Information), the CREST (Centre de Recherche en Economie et Statistique) and the ILB (Institute Louis Bachelier). The Local Organization Committee consists of the following members: Valentin Patilea (Chair), ENSAI, France; Daniel Bonnery, University of Maryland, College Park, USA; Stephane Buttigieg, ILB, France.
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