Rankings and Preferences / SpringerBriefs in Statistics (PDF)

Name: Rankings and Preferences / SpringerBriefs in Statistics
Brand: Springer-Verlag GmbH
SKU: 69938846
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New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications (Sprache: Englisch)

Autor: Joaquim Pinto da Costa

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This book examines in detail the correlation, more precisely the weighted correlation, and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.

We also introduce new methods of dimension reduction and clustering for time series data, and describe some theoretical results on the weighted correlation coefficients in separate sections.

Autoren-Porträt von Joaquim Pinto da Costa

Joaquim Pinto da Costa received his first degree in Applied Mathematics from Porto Universitiy (Portugal), his M. Sc. degree in Applied Statistics from Oxford University and his Ph.D. degree in Applied Mathematics from University of Rennes II (France). Since 199, he is Assistant Professor at the Mathematics Department of Porto University. His research interests include Statistics, Statistical Learning Theory, Pattern Recognition, Discriminant Analysis and Clustering, Data Analysis, Neural Networks, SVMs and Machine Learning.

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Autor: Joaquim Pinto da Costa
2015, 1st ed. 2015, 91 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3662483440
ISBN-13: 9783662483442
Erscheinungsdatum: 15.09.2015

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“This book describes newly developed methods of weighted correlation by the author and his collaborators. … This book is useful for those who want to learn a series of studies on weighted correlations by the author and his collaborators.” (Hidehiko Kamiya, Mathematical Reviews, August, 2016)

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