Denis Bosq is a Professor at the Laboratory of Theoretical and Applied Statistics, University of Pierre & Marie Curie ? Paris 6. He has over 100 published papers, 5 books, and is chief editor of the journal ?Statistical Inference for Stochastic Processes? as well as associate editor for the ?Journal of Non-Parametric Statistics?. He is a well-known specialist in the field of non-parametric statistical inference.
This book provides a rigorous and thorough account of modern mathematical statistics as applied to the classic problems of prediction, filtering, inference with kernels, and high-dimensional linear processes ... All in all, Large Sample Techniques in Statistics is an excellent book that I recommend whole-heartedly. (Journal of the American Statistical Association, 1 December 2011)