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A new variable selection approach inspired by supersaturated designs given a large-dimensional dataset

A new variable selection approach inspired by supersaturated designs given a large-dimensional dataset
A new variable selection approach inspired by supersaturated designs given a large-dimensional dataset
1680-743X
35-52
Parpoula, Christina
6244ba93-0965-4177-8343-fedac13ac025
Drosou, Krystallenia
27170694-427b-48fd-a37d-8aaef53a288c
Koukouvinos, Christos
9c88d32d-b519-4d78-a60d-66418cab1926
Mylona, Kalliopi
b44af287-2d9f-4df8-931c-32d8ab117864
Parpoula, Christina
6244ba93-0965-4177-8343-fedac13ac025
Drosou, Krystallenia
27170694-427b-48fd-a37d-8aaef53a288c
Koukouvinos, Christos
9c88d32d-b519-4d78-a60d-66418cab1926
Mylona, Kalliopi
b44af287-2d9f-4df8-931c-32d8ab117864

Parpoula, Christina, Drosou, Krystallenia, Koukouvinos, Christos and Mylona, Kalliopi (2014) A new variable selection approach inspired by supersaturated designs given a large-dimensional dataset. Journal of Data Science, 12, 35-52.

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e-pub ahead of print date: 2014
Organisations: Statistics, Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 357395
URI: http://eprints.soton.ac.uk/id/eprint/357395
ISSN: 1680-743X
PURE UUID: d2f200f0-bca1-4bb3-9ff9-ee46cae697a2

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Date deposited: 03 Oct 2013 10:43
Last modified: 22 Feb 2023 18:11

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Contributors

Author: Christina Parpoula
Author: Krystallenia Drosou
Author: Christos Koukouvinos
Author: Kalliopi Mylona

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