Nonparametric Statistics

Patrice Bertail is a Professor of Statistics at the University Paris-Nanterre, France, and member of the chair of Big Data at TelecomParisTech. The author of over 100 peer-reviewed papers, he is a specialist in resampling methods for dependent data. His research interests also include statistical inference for Markov chains and survey sampling for big data. The chief applications of his work are in food risk assessments and insurance models.  Eric Matzner-Lober is a Professor of Statistics at the University of Rennes 2, France, and an associated member of the National Laboratory of Los Alamos, USA. He is currently in charge of adult formations in statistics at ENSAE. The author of several papers on nonparametric statistics and numerous books on statistics with R, Matzner-Lober is also actively involved in research programs with companies. Pierre-André Cornillon is an Assistant Professor of Statistics at Rennes University, France, and a member of IRMAR. He is primarily interested in nonparametric regression and applications in R, and he has developed R packages and written several publications, including two books, on these topics. Together with Eric Matzner-Lober, Cornillon is a director of Pratique R, a book collection devoted to applied statistics with R.Delphine Blanke has been a Professor of Statistics at Avignon University, France, since 2008. Her main research fields are asymptotic statistics, functional estimation and statistical inference for stochastic processes. She is the author of over thirty peer-reviewed papers and one book on nonparametric estimation, prediction, and theory of linear processes in function spaces.