[Forum SIS] Jean Monnet Chair Seminar

[Monica Pratesi]

Jean Monnet Chair - Small Area Methods for Monitoring of Poverty and 
Living Conditions in EU


Monday, *27th November 2017*from 12.15 to 13,45

*Seminar “Big Data, Big Promise, Big Challenge: Can Small Area 
Estimation Play a Role in the Big Data Centric World?”*

Venue: Room L2, Polo Didattico delle Piagge

Via Giacomo Matteotti, 11, 56124 Pisa


*Speaker:**Partha Lahiri*, Joint Program in Survey Methodology and 
Department of Mathematics, University of Maryland, College Park

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*Abstract:*The demand for various socio-economic, transportation, and 
health statistics for small geographical areas is steadily increasing at 
a time when survey agencies are desperately looking for ways to reduce 
costs to meet fixed budgetary requirements.In the current survey 
environment, the application of standard sample survey methods for small 
areas, which require a large sample, is generally not feasible when 
considering the costs.One of the key factors that lead to the success of 
small area estimation (SAE) methodology is the availability of strong 
auxiliary variables.The accessibility of big data from different sources 
is now bringing new opportunities for statisticians to develop 
innovative SAE methods.In this talk, I will provide an outline of how 
SAE methods can be adapted to incorporate big data in improving local 
area statistics.Then I will discuss my recent collaboration with my UMD 
colleagues --- Professor Cinzia Cirillo of Department of Civil and 
Environmental Engineering, and Professor Joseph JaJa of Department of 
Electrical and Computer Engineering, and the University of Maryland 
Institute for Advanced Computer Studies (UMIACS).Finally, as an example 
from our different collaborative research projects, I will explain how 
SAE can help solve a seemingly different problem of predicting in 
real-time traffic by exploiting rich vehicle probe big data.

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*

*Short Bio*

Dr. Partha Lahiri is a Professor of Survey Methodology and Mathematics 
at the University of Maryland, College Park and an Adjunct Research 
Professor at the Institute of Social Research, University of Michigan, 
Ann Arbor.Before coming to Maryland, Dr. Lahiri was the Milton Mohr 
Distinguished Professor of Statistics at the University of 
Nebraska-Lincoln. His research interests include big data, Bayesian 
statistics, record linkage, and small-area estimation.Dr. Lahiri has 
served on a number of advisory committees, including the U.S. Census 
Advisory committee and U.S. National Academy panel.Over the years Dr. 
Lahiri advised various local and international organizations such as the 
United Nations Development Program, the World Bank, and the Gallup 
Organization.He is a Fellow of the American Statistical Association and 
the Institute of Mathematical Statistics and an elected member of the 
International Statistical Institute.


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Monica Pratesi

Full Professor of Statistics
holder of the Jean Monnet Chair
“Small Area Methods for Monitoring of Poverty and Living Conditions in EU”
sampleu.ec.unipi.it

Department of Economics and Management
University of Pisa
tel: +39 (0)50 2216 252
fax: +39 (0)50 2216 375
web-page:
http://unimap.unipi.it/cercapersone/dettaglio.php ri=4328&template=dettaglio.tpl
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