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Feature Informativeness, Curse-of-Dimensionality and Error Probability in Discriminant Analysis

Pavlenko, Tatjana LU (2001)
Abstract
This thesis is based on four papers on high-dimensional discriminant analysis. Throughout, the curse-of-dimensionality effect on the precision of the discrimination performance is emphasized. A growing dimension asymptotic approach is used for assessing this effect and the limiting error probability are taken as the performance criteria. A combined effect of a high dimensionality and feature informativeness on the discrimination performance is evaluated.
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author
supervisor
opponent
  • Professor Fang, K.T.
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Statistics, Matematik, Mathematics, feature selection, Discriminant analysis, feature informativeness, growing dimension assymptotics, operations research, operationsanalys, programmering, aktuariematematik, programming, actuarial mathematics, Statistik
pages
126 pages
defense location
sal MH:C
defense date
2001-06-06 10:15:00
ISBN
91-628-4775-9
language
English
LU publication?
yes
additional info
Pavlenko,~T. and von Rosen,~D.: Effect ofDimensionality on Discrimination. To appear in {it Statistics}, 2001. Pavlenko,~T.: Feature Informativeness inHigh-Dimensional Discriminant Analysis. Preliminary accepted by{it Communications in Statistics}, 2001.Pavlenko,~T.: On Assessing the FeatureInformativeness in High-Dimensional Discriminant Analysis.In {it Proceedings the Third Ukrainian-Scandinavian Conference inProbability Theory and Mathematical Statistics}, Kiev, Ukraine, June1999.Pavlenko,~T.: On Feature Selection,Curse-of-Dimensionality and Error Probability inDiscriminant Analysis. Submitted to {it Journal of StatisticalPlanning and Inference}.
id
00e10a03-989a-4b62-9851-f0c7690eb969 (old id 41683)
date added to LUP
2016-04-04 13:39:04
date last changed
2018-11-21 21:15:23
@phdthesis{00e10a03-989a-4b62-9851-f0c7690eb969,
  abstract     = {This thesis is based on four papers on high-dimensional discriminant analysis. Throughout, the curse-of-dimensionality effect on the precision of the discrimination performance is emphasized. A growing dimension asymptotic approach is used for assessing this effect and the limiting error probability are taken as the performance criteria. A combined effect of a high dimensionality and feature informativeness on the discrimination performance is evaluated.},
  author       = {Pavlenko, Tatjana},
  isbn         = {91-628-4775-9},
  language     = {eng},
  school       = {Lund University},
  title        = {Feature Informativeness, Curse-of-Dimensionality and Error Probability in Discriminant Analysis},
  year         = {2001},
}