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286 sidor
2014

The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lvy 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 Lvy processes, and are written by experts in the field. The first chapter by Denis Belomestny and Markus Rei 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 Lvy processes, when the observation scheme is regular, from an up-to-date viewpoint.

Författare: Denis Belomestny, Fabienne Comte, Valentine Genon-Catalot, Hiroki Masuda, Markus Rei
Illustratör: 14 schwarz-weiße Tabellen 2 schwarz-weiße und 19 farbige Abbildungen Bibliographie
Format: Pocket/Paperback
ISBN: 9783319123721
Språk: Engelska
Antal sidor: 286
Utgivningsdatum: 2014-12-16
Förlag: Springer International Publishing AG