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Titlebook: Jump SDEs and the Study of Their Densities; A Self-Study Book Arturo Kohatsu-Higa,Atsushi Takeuchi Textbook 2019 Springer Nature Singapore

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發(fā)表于 2025-3-21 17:26:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Jump SDEs and the Study of Their Densities
副標(biāo)題A Self-Study Book
編輯Arturo Kohatsu-Higa,Atsushi Takeuchi
視頻videohttp://file.papertrans.cn/502/501624/501624.mp4
概述Introduces jump processes for students who may not have had previous experience with stochastic processes.Expedites understanding of the application of an infinite-dimensional integration by parts for
叢書(shū)名稱Universitext
圖書(shū)封面Titlebook: Jump SDEs and the Study of Their Densities; A Self-Study Book Arturo Kohatsu-Higa,Atsushi Takeuchi Textbook 2019 Springer Nature Singapore
描述.The present book deals with a streamlined presentation of Lévy processes and their densities. It is directed at advanced undergraduates who have already completed a basic probability course. Poisson random variables, exponential random variables, and the introduction of Poisson processes are presented first, followed by the introduction of Poisson random measures in a simple case. With these tools the reader proceeds gradually to compound Poisson processes, finite variation Lévy processes and finally one-dimensional stable cases. This step-by-step ?progression guides the reader into the construction and study of the properties of general Lévy processes with no Brownian component. In particular, in each case the corresponding Poisson random measure, the corresponding stochastic integral, and the corresponding stochastic differential equations (SDEs) are provided. The second part of the book introduces the tools of the integration by parts formula for jump processes in basic settings and first gradually provides the integration by parts formula in finite-dimensional spaces and gives a formula in infinite dimensions. These are then applied to stochastic differential equations in orde
出版日期Textbook 2019
關(guān)鍵詞Jump processes; Stochastic Calculus; Calculus of Variations; Integration by parts; Densities of random v
版次1
doihttps://doi.org/10.1007/978-981-32-9741-8
isbn_softcover978-981-32-9740-1
isbn_ebook978-981-32-9741-8Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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發(fā)表于 2025-3-21 22:10:15 | 只看該作者
Construction of Lévy Processes and Their Corresponding SDEs: The Infinite Variation Caseith paths of infinite variation. From the pedagogical point of view, this chapter provides the construction of the Lévy process, leaving for the reader most of the developments related to the construction of the stochastic integral, the It? formula and the associated stochastic differential equation
板凳
發(fā)表于 2025-3-22 02:20:21 | 只看該作者
Flows Associated with Stochastic Differential Equations with Jumpsed for the second part of this book and as the final goal is not to give a detailed account of the theory of stochastic differential equations driven by jump processes, we only give the main arguments, referring the reader to any specialized text on the subject. For example, see [2] (Sect.?6.6) or [
地板
發(fā)表于 2025-3-22 05:49:57 | 只看該作者
Overviewon function of random variables. This issue appears not only in applied problems where actual computation needs to be carried out but also in theoretical problems where qualitative information of the distribution function is needed.
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Techniques to Study the Densityn order to study densities of random variables there are many different techniques. We will briefly describe some of them in this chapter. Most of these techniques are analytic in nature and they give a different range of results. We concentrate here on the multi-dimensional results, while in Chap.
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發(fā)表于 2025-3-22 20:19:59 | 只看該作者
Integration by Parts: Norris Method obtain an integration by parts (IBP) formula for jump-driven stochastic differential equations. We focus our study on the directional derivative of the jump measure which respect to the direction of the Girsanov transformation. We first generalize the method in order to consider random variables on
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Further Hints for the Exercisesest to be heuristic and need to be completed by the reader. These are a level above the hints given in each corresponding exercise which are given because we believe that some of the exercises may be difficult or even that some misunderstanding may occur.
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發(fā)表于 2025-3-23 05:53:19 | 只看該作者
ent value that cannot be provided by other dietary components [1]. This report suggested that a nutrient is inherent in fat apart from its caloric contribution and that this nutrient maybe related to the presence of lipids. In 1929 Burr and Burr [2] presented the first in a series of papers that a “
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