Recent Advances and Trends in Nonparametric Statistics
AuthorAkritas, Michael G.
Politis, Dimitris Nicolas
SourceRecent Advances and Trends in Nonparametric Statistics
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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 mainstreamprime 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 approacheswavelets and nonlinear smoothersgraphical methods and data miningbiostatistics and bioinformaticsbagging and boostingsupport vector machinesresampling methods. © 2003 Elsevier B.V. All rights reserved.