书目名称 | Lévy Matters IV | 副标题 | Estimation for Discr | 编辑 | Denis Belomestny,Fabienne Comte,Markus Reiß | 视频video | | 概述 | Includes supplementary material: | 丛书名称 | Lecture Notes in Mathematics | 图书封面 |  | 描述 | .The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a lively topic, driven by the needs of various fields of application, such as finance, the biosciences, and telecommunication. .The three chapters of this volume are completely dedicated to the estimation of Lévy processes, and are written by experts in the field. The first chapter by Denis Belomestny and Markus Reiß treats the low frequency situation, and estimation methods are based on the empirical characteristic function. The second chapter by Fabienne Comte and Valery Genon-Catalon is dedicated to non-parametric estimation mainly covering the high-frequency data case. A distinctive feature of this part is the construction of adaptive estimators, based on deconvolution or projection or kernel methods. The last chapter by Hiroki Masuda considers the parametric situation. The chapters cover the main aspects of the estimation of discretely observed Lévy processes, when the observation scheme is regular, from an up-to-date viewpoint.. | 出版日期 | Book 2015 | 关键词 | 60G10,60G70,60J10,62G05,62M05,60F05,62F12,91B28; Adaptive estimation; Estimation with discrete observa | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-12373-8 | isbn_softcover | 978-3-319-12372-1 | isbn_ebook | 978-3-319-12373-8Series ISSN 0075-8434 Series E-ISSN 1617-9692 | issn_series | 0075-8434 | copyright | Springer International Publishing Switzerland 2015 |
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