MARC Record from Library of Congress

LEADER: 03030cam a2200361 i 4500
001 2013042095
003 DLC
005 20150826080408.0
008 131029s2014 njua b 001 0 eng
010 $a 2013042095
020 $a9780470384428 (hardback)
040 $aDLC$beng$cDLC$erda$dDLC
042 $apcc
050 00 $aHG176.5$b.K55 2014
082 00 $a519.5/36$223
084 $aMAT029000$aMAT029030$aCOM051200$2bisacsh
100 1 $aKlemelä, Jussi,$d1965-
245 10 $aMultivariate nonparametric regression and visualization :$bwith R and applications to finance /$cJussi Klemela.
264 1 $aHoboken, New Jersey :$bWiley,$c[2014].
300 $axxiii, 367 pages :$billustrations ;$c24 cm.
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 0 $aWiley series in computational statistics ;$v699
520 $a"This book uniquely utilizes visualization tools to explain and study statistical learning methods. Covering classification and regression, the book is divided into two parts. First, various visualization methods are introduced and explained. Here, the reader is presented with applications of visualization techniques to learning samples (including projection pursuit, graphical matrices, and parallel coordinate plots) as well as functions, and sets. Next, the author provides a "toolbox" that contains formal definitions of the methods applied in the book and then proceeds to present visualizations of classified learning samples and classified test samples. Visualization methods are applied for the initial exploration of data, to identify the correct type of classifier, and to estimate the best achievable classification error. Once identified, the classifier's properties, proper uses, and overall performance are demonstrated and measured using visualization methods. Key areas of coverage include linear methods, kernel methods, additive models and trees, boosting, support vector machines, and nearest neighbor methods In addition to providing applications to engineering and biomedicine, the author also uses financial data sets as real data examples to illustrate nonparametric function estimation. The author's own R software is used throughout to reproduce and modify the book's computations and research. Readers can duplicate these applications using the software, available via the book's related Web site"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
650 0 $aFinance$xMathematical models.
650 0 $aVisualization.
650 0 $aRegression analysis.
650 7 $aMATHEMATICS / Probability & Statistics / General.$2bisacsh
650 7 $aMATHEMATICS / Probability & Statistics / Regression Analysis.$2bisacsh
650 7 $aCOMPUTERS / Programming Languages / Visual BASIC.$2bisacsh
776 08 $iOnline version:$aKlemelä, Jussi, 1965-$tMultivariate nonparametric regression and visualization$dHoboken, New Jersey : Wiley-Interscience, 2014$z9781118838044$w(DLC) 2013048056