Advances in Contemporary Statistics and Econometrics (eBook)

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.

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.