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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
  19. Alba M. Franco-Pereira, Rosa E. Lillo, Juan Romo
    Pages 131-134
  20. Laurent Gardes, Stèphane Girard
    Pages 135-140
  21. Sonja Greven, Ciprian Crainiceanu, Brian Caffo, Daniel Reich
    Pages 149-154
  22. Oleksandr Gromenko, Piotr Kokoszka
    Pages 155-160
  23. Jaroslaw Harezlak, Timothy W. Randolph
    Pages 161-167
  24. Ivana Horová, Kamila Vopatová
    Pages 177-182
  25. Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
    Pages 189-195
  26. Clifford Lam, Qiwei Yao, Neil Bathia
    Pages 203-207
  27. Sara Lòpez-Pintado, Ying Wei
    Pages 209-212
  28. Hans-Georg Müller, Damla Şentürk
    Pages 225-230
  29. S. Naya, M. Francisco-Fernández, J. Tarrío-Saavedra, J. López-Beceiro, R. Artiaga
    Pages 231-237
  30. Alicia Nieto-Reyes
    Pages 239-244
  31. Victor M. Panaretos, David Kraus, John H. Maddocks
    Pages 245-250
  32. Efstathios Paparoditis
    Pages 251-254
  33. Davide Pigoli, Laura M. Sangalli
    Pages 255-261
  34. Alejandro Quintela-del-Río, Frédéric Ferraty, Philippe Vieu
    Pages 263-268
  35. James O. Ramsay, Tim Ramsay, Laura M. Sangalli
    Pages 269-275
  36. Elvira Romano, Ramon Giraldo, Jorge Mateu
    Pages 277-282
  37. Piercesare Secchi, Simone Vantini, Valeria Vitelli
    Pages 283-289
  38. Leen Slaets, Gerda Claeskens, Maarten Jansen
    Pages 297-300
  39. Ahmad R. Soltani, Majid Hashemi
    Pages 301-306
  40. Catherine Timmermans, Laurent Delsol, Rainer von Sachs
    Pages 307-313
  41. Back Matter
    Pages 315-320

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
  • Buy this book on publisher's site