Rankings and Preferences
Springer Berlin (Verlag)
978-3-662-48343-5 (ISBN)
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.
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.
Introduction.- The Weighted Rank Correlation Coefficient rW.- The Weighted Rank Correlation Coefficient rW2 .- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data.- A Weighted Principal Component Analysis (WPCA2) for Time Series Data.- Weighted Clustering of Time Series.- Appendix.- References.
"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)
| Erscheint lt. Verlag | 25.9.2015 |
|---|---|
| Reihe/Serie | SpringerBriefs in Statistics |
| Zusatzinfo | X, 91 p. 12 illus., 4 illus. in color. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Biostatistics • mathematics and statistics • microarray data • Principal Component Analysis • Ranking • Statistical Theory and Methods • Statistics for Life Sciences, Medicine, Health Sci • Time Series • weighted correlation |
| ISBN-10 | 3-662-48343-2 / 3662483432 |
| ISBN-13 | 978-3-662-48343-5 / 9783662483435 |
| Zustand | Neuware |
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