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Lévy Matters IV [[electronic resource] ] : Estimation for Discretely Observed Lévy Processes / / by Denis Belomestny, Fabienne Comte, Valentine Genon-Catalot, Hiroki Masuda, Markus Reiß



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Autore: Belomestny Denis Visualizza persona
Titolo: Lévy Matters IV [[electronic resource] ] : Estimation for Discretely Observed Lévy Processes / / by Denis Belomestny, Fabienne Comte, Valentine Genon-Catalot, Hiroki Masuda, Markus Reiß Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (XV, 286 p. 21 illus., 14 illus. in color.)
Disciplina: 519.282
Soggetto topico: Probabilities
Statistics 
Economic theory
Probability Theory and Stochastic Processes
Statistics for Business, Management, Economics, Finance, Insurance
Economic Theory/Quantitative Economics/Mathematical Methods
Persona (resp. second.): ComteFabienne
Genon-CatalotValentine
MasudaHiroki
ReißMarkus
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Estimation and calibration of Lévy models via Fourier methods -- Adaptive Estimation for Lévy processes -- Parametric estimation of Lévy processes.
Sommario/riassunto: 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.
Titolo autorizzato: Lévy matters IV  Visualizza cluster
ISBN: 3-319-12373-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996211266703316
Lo trovi qui: Univ. di Salerno
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Serie: Lévy Matters, A Subseries on Lévy Processes, . 2190-6637 ; ; 2128