Nonparametric Statistics for Stochastic Processes: Estimation and Prediction
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Bibliographic Details
Main Author: Bosq, D. (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer US 1996
Series:Lecture Notes in Statistics 110
Subjects:
Online Access:Volltext
Item Description:Recently new developments have taken place in the theory of nonparametric statistics for stochastic processes. Optimal asymptotic results have been obtained and special behaviour of estimators and predictors in continuous time has been pointed out. This book is devoted to these questions. It also gives some indications about implementation of nonparametric methods and comparaison with parametric ones, including numerical results. Many of the results presented here are new and have not yet been published, expecially those in Chapters N and V. I am grateful to W. Hardie, Y. Kutoyants, F. Merlevede and G. Oppenheim who made important remarks that helped much to improve the text. I am greatly indebted to B. Heliot for her careful reading of the manuscript which allowed to ameliorate my english. I also express my gratitude to D. Blanke, L. Cotto and P. Piacentini who read portions of the manuscript and made some useful suggestions. I also thank M. Gilchrist and J. Kimmel for their encouragements. My acknowledgment also goes to M. Carbon, M. Delecroix, B. Milcamps and J .M. Poggi who authorized me to reproduce their numerical results
Physical Description:1 Online-Ressource (1 illus. in color)
ISBN:9781468404890
9780387947136
ISSN:0930-0325
DOI:10.1007/978-1-4684-0489-0

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