Functional and High-Dimensional Statistics and Related Fields

Germán Aneiros
is an Associate Professor of Statistics at the University of A Coruña, Spain. His research focuses on statistical inference for functional data, including sparse semi-parametric regression models, selection of impact points in a curve, bootstrap procedures and functional prediction of electricity demand and price. He is an Associate Editor of the journal Computational Statistics.

Ivana Horová 
is a Full Professor of Applied Mathematics at Masaryk University, Brno, Czech Republic. Her research focuses on nonparametric statistical methods, particularly multivariate kernel smoothing and its applications. She is a co-author of a monograph on kernel smoothing in MATLAB. She was a Guest Editor of the special issue Computational Environmetrics in the journal Environmetrics in 2009.

Marie Hušková
 is a Full Professor of Mathematical Statistics at Charles University, Prague, Czech Republic. She is the author of more than 130 scientific papers, mainly on asymptotic statistics, nonparametric and multivariate statistics and change-point problems. She is an Associate Editor of the journals Metrika, Statistics, and Sequential Analysis, and is a former Associate Editor of the Journal of Statistical Planning and Inference and REVSTAT. She is an elected member of ISI and a fellow of IMS. For several years, she was the chair of the European Regional Committee of the Bernoulli Society and a member of the Council of ISI.

Philippe Vieu
is a Full professor at Paul Sabatier University, Toulouse, France.  He is well known for his numerous achievements in fields such as nonparametric statistics and functional statistics. He was an editor of previous IWFOS proceedings and several special issues on functional and nonparametric statistics. Currently, he is a Co-Editor of the journal Computational Statistics, and an Associate Editor of the Journal of Nonparametric Statistics, TEST, Statistics & Probability Letters and the Journal of Multivariate Analysis.