Recent Advances and Trends in Nonparametric Statistics

Michael G. Akritas, Dimitris N. Politis

Research output: Book/ReportBook

11 Citations (Scopus)

Abstract

The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: algorithic approaches; wavelets and nonlinear smoothers; graphical methods and data mining; biostatistics and bioinformatics; bagging and boosting; support vector machines; resampling methods.

Original languageEnglish (US)
PublisherElsevier B.V.
Number of pages512
ISBN (Print)9780444513786
DOIs
StatePublished - Jan 1 2003

Fingerprint

Nonparametric Statistics
Resampling Methods
Graphical Methods
Bagging
Boosting
Bioinformatics
Data Mining
Wavelets
Biostatistics
Smoothing Function
Bootstrap Method
Support Vector Machine
High Speed
Trends
Review

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cite this

Akritas, Michael G. ; Politis, Dimitris N. / Recent Advances and Trends in Nonparametric Statistics. Elsevier B.V., 2003. 512 p.
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Recent Advances and Trends in Nonparametric Statistics. / Akritas, Michael G.; Politis, Dimitris N.

Elsevier B.V., 2003. 512 p.

Research output: Book/ReportBook

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