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Zoe Purcell et Jean-François Bonnefon
vol. 34, n° 2, 2023, p. 100–101
Estelle Medous, Camelia Goga, Anne Ruiz-Gazen, Jean-François Beaumont, Alain Dessertaine et Pauline Puech
vol. 49, n° 2, décembre 2023, p. 385–410
In this paper, we investigate how a big non-probability database can be used to improve estimates of finite population totals from a small probability sample through data integration techniques. In the situation where the study variable is observed in both data sources, Kim and Tam (2021) proposed...
Maria Kleshnina, Sabrina Streipert, Joel Brown et Katerina Stankova
vol. 13, décembre 2023, p. 1130–1155
Nature exhibits rapid evolution in response to human activities. When using natural resources for their own profit, humans should account for such responses. Stackelberg evolutionary games (SEG) offer a method for modeling interactions between a rational leader (humans) and evolutionary followers (...
Pierre Pestieau
vol. 152, n° 4, 2023, p. 15–26
Le vieillissement démographique entraîne une forte augmentation des besoins liés à la dépendance et à la perte d'autonomie partout en Europe. Cet article traite des questions de financement de la dépendance et de la fourniture des services qu'elle réclame. Il discute du rôle respectif du marché, de...
Laura Resnick Samotin, Jeffrey A. Friedman et Michael C. Horowitz
2023
We interviewed national security professionals to understand why the U.S. Intelligence Community has not systematically incorporated prediction markets or prediction polls into its intelligence reporting. This behavior is surprising since crowdsourcing platforms often generate more accurate...
Jérôme Bolte, Lilian Glaudin, Edouard Pauwels et Matthieu Serrurier
vol. 4, n° 8, 2023, 17 pages
We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method – the backtrack Hölder algorithm applicable to many optimization problems. Our approach takes advantage of hidden regularity properties and...
Hai-Anh H. Dang, Toan L.D. Huynh et Manh-Hung Nguyen
décembre 2023
Purpose:The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic. Design/methodology/approach:The authors contribute new theoretical and empirical evidence on the distributional impacts of the...
Abdelaati Daouia, Gilles Stupfler et Antoine Usseglio-Carleve
vol. 51, n° 5, décembre 2023, p. 2040–2066
Nonparametric inference on tail conditional quantiles and their least squares analogs, expectiles, remains limited to i.i.d. data. Expectiles are themselves quan- tiles of a transformation of the underlying distribution. We develop a fully operational kernel-based inferential theory for extreme...
Rafael Jimenez-Duran
Toulouse, 2023, révision 10 juin 2026
Ohad Atad
