Variance Gamma Process Stochastic (2 results)

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    • Language: English

      Published by OmniScriptum, 2026

      6131122296 / 9786131122293

      • Softcover
      • Print on Demand

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Variance Gamma Process | Stochastic Process, Theory of Probability | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131122293 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

    • Language: English

      Published by Omniscriptum, 2010

      6131122296 / 9786131122293

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      US$ 226.59

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In the theory of stochastic processes, a part of the mathematical theory of probability, the variance gamma process (VG), also known as Laplace motion, is a Lévy process determined by a random time change. The process has finite moments distinguishing it from many Lévy processes. There is no diffusion component in the VG process and it is thus a pure jump Lévy process. The increments are independent and follow a Laplace distribution. There are several representations of the VG process that relate it to other processes. It can for example be written as a Brownian motion subjected to a random time change following a gamma process. Since the VG process is of finite variation it can be written as the difference of two independent gamma processes. Alternatively it can be approximated by a compound Poisson process that leads to a representation with explicitly given (independent) jumps and their locations. This last characterization gives an understanding of the strucuture of the sample path with location and sizes of jumps.