Abstract
The journal is pleased to publish the abstracts of the winner and finalists of the 2018 Applied Probability Society’s student paper competition. The 2018 student paper prize committee was chaired by John Hasenbein. The 2018 committee members are (in alphabetical order by last name) Reza Aghajani, Rami Atar, Jose Blanchet, Pelin Canbolat, Jing Dong, Xin Guo, Andreea Minca, Petar Momcilovic, Amber Puha, Ilya Ryzhov, and Galit Yom-Tov.
Highlights
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We develop a generalized empirical likelihood framework—based on distributional uncertainty sets constructed from nonparametric f -divergence balls—for Hadamard differentiable functionals and, in particular, stochastic optimization problems
As consequences of this theory, we provide a principled method for choosing the size of distributional uncertainty regions to provide one- and two-sided confidence intervals that achieve exact coverage
Summary
Publication details, including instructions for authors and subscription information: http://pubsonline.informs.org. Applied Probability Society Student Paper Competition: Abstracts of 2018 Finalists. To cite this article: (2019) Applied Probability Society Student Paper Competition: Abstracts of 2018 Finalists. Full terms and conditions of use: https://pubsonline.informs.org/Publications/Librarians-Portal/PubsOnLine-Terms-andConditions. Descriptions of, or references to, products or publications, or inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support of claims made of that product, publication, or service. With 12,500 members from nearly 90 countries, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individual professionals, and organizations of all types and sizes, to better understand and use O.R. and analytics tools and methods to transform strategic visions and achieve better outcomes. For more information on INFORMS, its publications, membership, or meetings visit http://www.informs.org http://pubsonline.informs.org/journal/stsy/
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