Includes bibliographical references (pages 575-590) and indexes.
CONTENTS NOTE
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Smoothing of Multivariate Data: Density Estimation and Visualization; CONTENTS; Preface; Introduction; PART I VISUALIZATION; PART II ANALYTICAL AND ALGORITHMIC TOOLS; PART III TOOLBOX OF DENSITY ESTIMATORS; Appendix A: Notations; Appendix B: Formulas; Appendix C: The Parent-Child Relations in a Mode Graph; Appendix D: Trees; Appendix E: Proofs; Problem Solutions; References; Author Index; Topic Index.
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SUMMARY OR ABSTRACT
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An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data. Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of classification and regression, this book focuses on the procedures for estimating a multivariate distribution via smoothing. The author first provides an introduction to various visualization tools that can be used to construct representations of multivariat.