Zobrazeno 1 - 9
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pro vyhledávání: '"Guchenko, Roman"'
Autor:
Scherbakova, Irina, Pepelyshev, Andrey, Staroselskiy, Yuri, Zhigljavsky, Anatoly, Guchenko, Roman
Real-time bidding has transformed the digital advertising landscape, allowing companies to buy website advertising space in a matter of milliseconds in the time it takes a webpage to load. Joint research between Cardiff University and Crimtan has emp
Externí odkaz:
http://arxiv.org/abs/2211.01017
Much of the work in the literature on optimal discrimination designs assumes that the models of interest are fully specified, apart from unknown parameters in some models. Recent work allows errors in the models to be non-normally distributed but sti
Externí odkaz:
http://arxiv.org/abs/1612.00328
An efficient algorithm for the determination of Bayesian optimal discriminating designs for competing regression models is developed, where the main focus is on models with general distributional assumptions beyond the "classical" case of normally di
Externí odkaz:
http://arxiv.org/abs/1508.00279
The problem of constructing Bayesian optimal discriminating designs for a class of regression models with respect to the T-optimality criterion introduced by Atkinson and Fedorov (1975a) is considered. It is demonstrated that the discretization of th
Externí odkaz:
http://arxiv.org/abs/1412.2548
Publikováno v:
Journal of Computational and Graphical Statistics, 2017 Jun 01. 26(2), 424-433.
Externí odkaz:
https://www.jstor.org/stable/44861966
Publikováno v:
The Annals of Statistics, 2015 Oct 01. 43(5), 1959-1985.
Externí odkaz:
http://www.jstor.org/stable/43818567
Publikováno v:
Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 8, p4314-4325. 12p.
Akademický článek
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Publikováno v:
Machine Learning, Optimization & Big Data (9783319514680); 2016, p159-169, 11p