Nonparametric Statistics

2nd ISNPS, Cádiz, June 2014

  • Ricardo Cao
  • Wenceslao González Manteiga
  • Juan Romo
Conference proceedings

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 175)

Table of contents

  1. Front Matter
    Pages i-xi
  2. D. Bagkavos, P. N. Patil, A. T. A. Wood
    Pages 1-10
  3. Stefano Bonnini
    Pages 11-18
  4. Šárka Hudecová, Marie Hušková, Simos Meintanis
    Pages 47-58
  5. Giacomo Benini, Stefan Sperlich, Raoul Theler
    Pages 59-73
  6. María Paz Espinosa, Eva Ferreira, Winfried Stute
    Pages 149-160
  7. Vic Patrangenaru, K. David Yao, Ruite Guo
    Pages 161-178
  8. Gábor J. Székely, Maria L. Rizzo
    Pages 179-190
  9. Anestis Antoniadis, Xavier Brossat, Yannig Goude, Jean-Michel Poggi, Vincent Thouvenot
    Pages 191-209
  10. Antonio Meneses, Salvador Naya, Ignacio López-de-Ullibarri, Javier Tarrío-Saavedra
    Pages 211-224

About these proceedings


This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and Universidad Carlos III de Madrid.

The 15 articles are a representative sample of the 336 contributed papers presented at the conference. They cover topics such as high-dimensional data modelling, inference for stochastic processes and for dependent data, nonparametric and goodness-of-fit testing, nonparametric curve estimation, object-oriented data analysis, and semiparametric inference.

The aim of the ISNPS 2014 conference was to bring together recent advances and trends in several areas of nonparametric statistics in order to facilitate the exchange of research ideas, promote collaboration among researchers from around the globe, and contribute to the further development of the field.


nonparametric inference curve estimation regression smoothing nonparametric tests nonparametric filtering high-dimensional data dependent data engineering applications applications in the life sciences applications in econometrics

Editors and affiliations

  • Ricardo Cao
    • 1
  • Wenceslao González Manteiga
    • 2
  • Juan Romo
    • 3
  1. 1.Department of MathematicsUniversidade da CoruñaA CoruñaSpain
  2. 2.Faculty of MathematicsUniversity of Santiago de CompostelaSantiago de CompostelaSpain
  3. 3.Department of StatisticsUniversidad Carlos III de MadridGetafeSpain

Bibliographic information

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