Nonparametric Statistics

3rd ISNPS, Avignon, France, June 2016

  • Patrice Bertail
  • Delphine Blanke
  • Pierre-André Cornillon
  • Eric Matzner-Løber
Conference proceedings ISNPS 2016

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 250)

Table of contents

  1. Front Matter
    Pages i-ix
  2. P.-A. Cornillon, A. Gribinski, N. Hengartner, T. Kerdreux, E. Matzner-Løber
    Pages 1-14
  3. N. Hengartner, E. Matzner-Løber, L. Rouvière, T. Burr
    Pages 31-52
  4. A. Carpentier, O. Klopp, M. Löffler
    Pages 103-118
  5. L. Montuelle, E. Le Pennec
    Pages 133-144
  6. D. N. Politis, V. A. Vasiliev, S. E. Vorobeychikov
    Pages 159-169
  7. P. Bertail, O. Jelassi, J. Tressou, M. Zetlaoui
    Pages 185-203
  8. J. Bógalo, P. Poncela, E. Senra
    Pages 295-309
  9. P. Unnikrishnan, V. Jothiprakash
    Pages 311-322
  10. S. Lee, S. G. Meintanis, C. Pretorius
    Pages 323-336
  11. Barbora Peštová, Michal Pešta
    Pages 357-373
  12. Gabriela Ciołek
    Pages 375-387
  13. Back Matter
    Pages 389-390

About these proceedings


This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel methods and extreme values, to statistical learning and classification, both in the standard i.i.d. case and for dependent data, including big data. 

The International Society for Nonparametric Statistics is uniquely global, and its international conferences are intended to foster the exchange of ideas and the latest advances among researchers from around the world, in cooperation with established statistical societies such as the Institute of Mathematical Statistics, the Bernoulli Society and the International Statistical Institute. The 3rd ISNPS conference in Avignon attracted more than 400 researchers from around the globe, and contributed to the further development and dissemination of nonparametric statistics knowledge.


Nonparametric statistics Time series Statistical learning Kernel methods Resampling Big data Survey sampling Nonparametric smoother Heavy-tailed distribution Dependent data Machine learning High-dimensional data Nonparametric inference

Editors and affiliations

  • Patrice Bertail
    • 1
  • Delphine Blanke
    • 2
  • Pierre-André Cornillon
    • 3
  • Eric Matzner-Løber
    • 4
  1. 1.MODAL’XParis West University Nanterre La DéfenseNanterreFrance
  2. 2.LMAAvignon UniversityAvignonFrance
  3. 3.MIASHSUniversity of Rennes 2RennesFrance
  4. 4.Formation Continue CEPEEcole Nationale de la Statistique et de l’AdministrationMalakoffFrance

Bibliographic information