Recent Advances in Functional Data Analysis and Related Topics

  • Frédéric Ferraty

Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. A. Aguilera, M. C. Aguilera-Morillo, M. Escabias, M. Valderrama
    Pages 1-7
  3. Germán Aneiros, Ricardo Cao, Juan M. Vilar-Fernández, Antonio Muñoz-San-Roque
    Pages 9-15
  4. Germán Aneiros, Frédéric Ferraty, Philippe Vieu
    Pages 17-22
  5. John A. D. Aston, Claudia Kirch
    Pages 23-26
  6. Mohammed K. Attouch, Abdelkader Gheriballah, Ali Laksaci
    Pages 27-31
  7. Alexander Aue, Siegfried Hörmann, Lajos Horváth, Marie Hušková
    Pages 33-39
  8. Graciela Boente, Daniela Rodriguez, Mariela Sued
    Pages 49-53
  9. Paula R. Bouzas, Nuria Ruiz-Fuentes
    Pages 55-61
  10. Rosa M. Crujeiras, María-Dolores Ruiz-Medina
    Pages 63-69
  11. Laurent Delsol, Frédéric Ferraty, Philippe Vieu
    Pages 77-83
  12. Jacques Demongeot, Ali Laksaci, Fethi Madani, Mustapha Rachdi
    Pages 85-90
  13. Manuel Febrero-Bande, Wenceslao Gonzàlez-Manteiga
    Pages 91-96
  14. Frédéric Ferraty, Aldo Goia, Enersto Salinelli, Philippe Vieu
    Pages 97-102
  15. Frédéric Ferraty, Adela Martínez-Calvo, Philippe Vieu
    Pages 103-109
  16. Frédéric Ferraty, Juhyun Park, Philippe Vieu
    Pages 111-116
  17. Liliana Forzani, Ricardo Fraiman, Pamela Llop
    Pages 117-121
  18. Ricardo Fraiman, Beatriz Pateiro-López
    Pages 123-129

About these proceedings

Introduction

New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data has led the statistical community to develop appropriate statistical methodologies, called Functional Data Analysis (FDA). Today, FDA is certainly one of the most motivating and popular statistical topics due to its impact on crucial societal issues (health, environment, etc). This is why the FDA statistical community is rapidly growing, as are the statistical developments . Therefore, it is necessary to organize regular meetings in order to provide a state-of-art review of the recent advances in this fascinating area. This book collects selected and extended papers presented at  the second International Workshop of Functional and Operatorial Statistics (Santander, Spain, 16-18 June, 2011), in which many outstanding experts on FDA will present the most relevant advances in this pioneering statistical area. Undoubtedly, these proceedings will be an essential resource for academic researchers, master students, engineers, and practitioners not only in statistics but also in numerous related fields of application.  


Keywords

Applications Functional Data Analysis Recent Advances

Editors and affiliations

  • Frédéric Ferraty
    • 1
  1. 1.Toulouse UniversityMathematics Toulouse InstituteToulouseFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-2736-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Physica-Verlag HD
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-7908-2735-4
  • Online ISBN 978-3-7908-2736-1
  • Series Print ISSN 1431-1968
  • About this book
Industry Sectors
Biotechnology
Pharma