Functional and High-Dimensional Statistics and Related Fields

  • Germán Aneiros
  • Ivana Horová
  • Marie Hušková
  • Philippe Vieu
Conference proceedings IWFOS 2020

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

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Eleonor Arnone, Mara S. Bernardi, Laura M. Sangalli, Piercesare Secchi
    Pages 5-10
  3. Eleonora Arnone, Alois Kneip, Fabio Nobile, Laura M. Sangalli
    Pages 11-18
  4. Gérard Biau, Adeline Fermanian
    Pages 19-26
  5. Enea G. Bongiorno, Aldo Goia, Philippe Vieu
    Pages 27-33
  6. Alain Boudou, Sylvie Viguier-Pla
    Pages 35-42
  7. Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
    Pages 43-51
  8. Graciela Estévez-Pérez, Philippe Vieu
    Pages 69-76
  9. Federico Ferraccioli, Laura M. Sangalli, Eleonora Arnone, Livio Finos
    Pages 77-82
  10. Matteo Fontana, Simone Vantini, Massimo Tavoni, Alexander Gammerman
    Pages 83-90
  11. Lara Fontanella, Sara Fontanella, Rosaria Ignaccolo, Luigi Ippoliti, Pasquale Valentini
    Pages 91-98
  12. Yuan Gao, Han Lin Shang, Yanrong Yang
    Pages 99-106
  13. Eduardo García-Portugués, Javier álvarez-Liébana, Gonzalo álvarez-Pérez, Wenceslao González-Manteiga
    Pages 107-114
  14. Harold A. Hernández-Roig, M. Carmen Aguilera-Morillo, Rosa E. Lillo
    Pages 115-122
  15. Zdeněk Hlávka, Daniel Hlubinka
    Pages 123-130
  16. Lajos Horváth
    Pages 131-136
  17. Jan Kalina, Petra Vidnerová
    Pages 145-152
  18. Nengxiang Ling, Lilei Cheng, Philippe Vieu
    Pages 161-168
  19. Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi
    Pages 169-176
  20. Stanislav Nagy
    Pages 187-195
  21. Silvia Novo, Germán Aneiros, Philippe Vieu
    Pages 197-204
  22. Niels Lundtorp Olsen, Alessia Pini, Simone Vantini
    Pages 205-211
  23. Manuel Oviedo de la Fuente, Carlos Cabo, Celestino Ordóñez, Javier Roca-Pardiñas
    Pages 213-220
  24. Mustapha Rachdi, Mohamed Alahiane, Idir Ouassou, Philippe Vieu
    Pages 221-228
  25. Álvaro Rollón de Pinedo, Mathieu Couplet, Nathalie Marie, Amandine Marrel, Elsa Merle-Lucotte, Roman Sueur
    Pages 229-236
  26. Back Matter
    Pages 253-254

About these proceedings


This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data, networks, operatorial statistics, prediction, regression, robustness, sequential learning, small-ball probability, smoothing, spatial data, testing, and topological object data analysis, and includes applications in automobile engineering, criminology, drawing recognition, economics, environmetrics, medicine, mobile phone data, spectrometrics and urban environments.

The book gathers selected, refereed contributions presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic. The workshop was originally to be held on June 24-26, 2020, but had to be postponed as a consequence of the COVID-19 pandemic. Initiated by the Working Group on Functional and Operatorial Statistics at the University of Toulouse in 2008, the IWFOS workshops provide a forum to discuss the latest trends and advances in functional statistics and related fields, and foster the exchange of ideas and international collaboration in the field.


62-07, 62G05, 62G09, 62G20, 62F12, 62F15, 62F40, 62H25 functional data analysis high-dimensional statistics operatorial statistics applied functional data analysis complex data computational statistics nonparametric statistics spatial data asymptotics estimation regression

Editors and affiliations

  • Germán Aneiros
    • 1
  • Ivana Horová
    • 2
  • Marie Hušková
    • 3
  • Philippe Vieu
    • 4
  1. 1.Department of MathematicsUniversity of A CoruñaA CoruñaSpain
  2. 2.Department of Mathematics and StatisticsMasaryk UniversityBrnoCzech Republic
  3. 3.Department of Probability and Mathematical StatisticsCharles UniversityPragueCzech Republic
  4. 4.Toulouse Mathematics InstitutePaul Sabatier University - Toulouse IIIToulouseFrance

Bibliographic information

Industry Sectors
Materials & Steel
Health & Hospitals
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences