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(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset

Authors:

Alfredo Cuesta-Infante,

José Ignacio Hidalgo,

María Victoria RivasAuthors Info & Claims

GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

Pages 115 - 116

https://doi.org/10.1145/2001858.2001924

Published: 12 July 2011 Publication History

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Abstract

This paper proposes an Evolution Strategy to find a shuffle ofM that suits to a batch of datasets that serve as benchmark. Results are compared with wavelet estimation.

References

[1]

A. Erdely, J. Gonzalez-Barrio, and R. Nelsen. Symmetries of random discrete copulas. Kybernetika, 44(6):846--863, 2008.

Google Scholar

[2]

C. Genest, E. Masiello, and K. Tribouley. Estimating copula densities through wavelets. Insurance: Mathematics and Economics, 44(2):170--181, 2009.

Crossref

Google Scholar

[3]

P. Jaworski, F. Durante, W. Härdle, and T. Rychlik (editors) Workshop on Copula Theory and its Applications, Lecture Notes in Statistics - Proceedings. Springer-Berlin, 2010.

Crossref

Google Scholar

[4]

H. Joe. Multivariate models and dependence concepts. Chapman and Hall, 1997.

Google Scholar

[5]

G. Mayor, J. Suñer, and J. Torrens. Copula-like operations on finite settings. IEEE Transactions on Fuzzy Systems, 13(4):468--477, 2005.

Digital Library

Google Scholar

[6]

P. Mikusinski, H. Sherwood, and M. Taylor. Shuffles of min. Stochastica, XIII-1:61--74, 1992.

Google Scholar

[7]

P. Mikusinski and M. Taylor. Some approximations of n-copulas. Metrika, 2009.

Google Scholar

[8]

R. B. Nelsen. An introduction to copulas. Springer Series in Statistics, 2nd. edition, 2006.

Digital Library

Google Scholar

[9]

A. Sklar. Fonctions de repartition n dimensions et leurs marges. volume 8. Inst. Statist. Univ. Paris, 1959.

Google Scholar

Index Terms

(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset
1. Mathematics of computing
  1. Probability and statistics

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Published In

GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation

July 2011

1548 pages

ISBN:9781450306904

DOI:10.1145/2001858

Editor:
Natalio Krasnogor
University of Nottingham, UK
,
General Chair:
Pier Luca Lanzi
Politecnico di Milano, Italy

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2011

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GECCO '11

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SIGEVO

GECCO '11: Genetic and Evolutionary Computation Conference

July 12 - 16, 2011

Dublin, Ireland

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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