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  • © 2021

Advances in Contemporary Statistics and Econometrics

Festschrift in Honor of Christine Thomas-Agnan

Editors:

(view affiliations)
  • Brings together contributions by statistics and econometrics experts in active areas of research

  • Presents modern and complex methods for spatial and compositional data analysis

  • Addresses nonparametric statistics as well as applications to economics and the social sciences

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eBook
USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-73249-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 159.99
Price excludes VAT (USA)
Hardcover Book
USD 219.99
Price excludes VAT (USA)

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Table of contents (35 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Nonparametric Statistics and Econometrics

    1. Front Matter

      Pages 1-1
    2. Profile Least Squares Estimators in the Monotone Single Index Model

      • Fadoua Balabdaoui, Piet Groeneboom
      Pages 3-22
    3. Optimization by Gradient Boosting

      • Gérard Biau, Benoît Cadre
      Pages 23-44
    4. Computational Outlier Detection Methods in Sliced Inverse Regression

      • Hadrien Lorenzo, Jérôme Saracco
      Pages 101-122
    5. Uncoupled Isotonic Regression with Discrete Errors

      • Jan Meis, Enno Mammen
      Pages 123-135
  3. Quantiles and Expectiles

    1. Front Matter

      Pages 137-137
    2. Piecewise Linear Continuous Estimators of the Quantile Function

      • Delphine Blanke, Denis Bosq
      Pages 161-175
    3. Single-Index Quantile Regression Models for Censored Data

      • Axel Bücher, Anouar El Ghouch, Ingrid Van Keilegom
      Pages 177-196
    4. Extreme \(L^p\)-quantile Kernel Regression

      • Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve
      Pages 197-219
    5. Robust Efficiency Analysis of Public Hospitals in Queensland, Australia

      • Bao Hoang Nguyen, Valentin Zelenyuk
      Pages 221-242
    6. Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression

      • Fabian Otto-Sobotka, Radoslava Mirkov, Benjamin Hofner, Thomas Kneib
      Pages 261-280
  4. Spatial Statistics and Econometrics

    1. Front Matter

      Pages 281-281
    2. Global Scan Methods for Comparing Two Spatial Point Processes

      • Florent Bonneu, Lionel Cucala
      Pages 305-318

About this book

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.


Keywords

  • nonparametric statistics
  • econometrics
  • spatial statistics
  • spatial econometrics
  • compositional data analysis
  • quantiles and expectiles
  • empirical studies in economics
  • empirical studies in the social sciences
  • complex data

Editors and Affiliations

  • Toulouse School of Economics, University of Toulouse Capitole, Toulouse, France

    Abdelaati Daouia, Anne Ruiz-Gazen

About the editors

Abdelaati Daouia is an Associate Professor of Applied Mathematics at the University of Toulouse Capitole, France. Having published in leading statistics and econometrics journals, his main research fields include frontier models and extreme value theory. His most recent works concern statistical methods in production econometrics and financial risk. His interests also include shape-constrained estimation and the problem of optimal location. He has been awarded a Marie Curie Intra-European Fellowship in Mathematics and is currently an Associate Editor of the Journal of Nonparametric Statistics and the Journal of Statistical Planning and Inference. 

Anne Ruiz-Gazen is a Professor of Statistics at the University of Toulouse Capitole, France. Her research interests include multivariate data analysis, robust statistics, computational statistics, survey sampling, spatial statistics and econometrics. She has published more than sixty papers and is currently an Associate Editor of the Journal of Multivariate Analysis and Statistical Papers. In addition, she is the Director of the international Master’s Program in Statistics and Econometrics at the Toulouse School of Economics.


Bibliographic Information

Buying options

eBook
USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-73249-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 159.99
Price excludes VAT (USA)
Hardcover Book
USD 219.99
Price excludes VAT (USA)