Zobrazeno 1 - 10
of 760
pro vyhledávání: '"Tukey depth"'
Autor:
Vo, Minh-Quan1 (AUTHOR) mqmath0000@gmail.com, Nguyen, Thu2 (AUTHOR) thu@simula.no, Riegler, Michael A.2,3 (AUTHOR) michael@simula.no, Hammer, Hugo L.2,3 (AUTHOR) hugo.hammer@oslomet.no
Publikováno v:
Algorithms. Mar2024, Vol. 17 Issue 3, p120. 16p.
Publikováno v:
Journal of Computational and Graphical Statistics, 33(2), 699-713, 2023
The Tukey (or halfspace) depth extends nonparametric methods toward multivariate data. The multivariate analogues of the quantiles are the central regions of the Tukey depth, defined as sets of points in the $d$-dimensional space whose Tukey depth ex
Externí odkaz:
http://arxiv.org/abs/2208.04587
We study a statistical data depth with respect to compact convex random sets which is consistent with the multivariate Tukey depth and the Tukey depth for fuzzy sets. In doing so, we provide a series of properties for statistical data depth with resp
Externí odkaz:
http://arxiv.org/abs/2206.14490
Autor:
Massé, Jean-Claude
Publikováno v:
Bernoulli, 2004 Jun 01. 10(3), 397-419.
Externí odkaz:
https://www.jstor.org/stable/3318767
Akademický článek
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Akademický článek
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Publikováno v:
Algorithms, Vol 17, Iss 3, p 120 (2024)
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging. The most
Externí odkaz:
https://doaj.org/article/76cd27c839b346e99189e39e528300af
The Tukey depth of a flat with respect to a point set is a concept that appears in many areas of discrete and computational geometry. In particular, the study of centerpoints, center transversals, Ham Sandwich cuts, or $k$-edges can all be phrased in
Externí odkaz:
http://arxiv.org/abs/2103.08665
The concept of depth represents methods to measure how deep an arbitrary point is positioned in a dataset and can be seen as the opposite of outlyingness. It has proved very useful and a wide range of methods have been developed based on the concept.
Externí odkaz:
http://arxiv.org/abs/2001.02393
Publikováno v:
In Pattern Recognition February 2022 122