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Discretization of Processes
Buch von Philip Protter (u. a.)
Sprache: Englisch

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Beschreibung
In applications, and especially in mathematical finance, random time-dependent events are often modeled as stochastic processes. Assumptions are made about the structure of such processes, and serious researchers will want to justify those assumptions through the use of data. As statisticians are wont to say, ¿In God we trust; all others must bring data.¿

This book establishes the theory of how to go about estimating not just scalar parameters about a proposed model, but also the underlying structure of the model itself. Classic statistical tools are used: the law of large numbers, and the central limit theorem. Researchers have recently developed creative and original methods to use these tools in sophisticated (but highly technical) ways to reveal new details about the underlying structure. For the first time in book form, the authors present these latest techniques, based on research from the last 10 years. They include new findings.

This book will be of special interest to researchers, combining the theory of mathematical finance with its investigation using market data, and it will also prove to be useful in a broad range of applications, such as to mathematical biology, chemical engineering, and physics.
In applications, and especially in mathematical finance, random time-dependent events are often modeled as stochastic processes. Assumptions are made about the structure of such processes, and serious researchers will want to justify those assumptions through the use of data. As statisticians are wont to say, ¿In God we trust; all others must bring data.¿

This book establishes the theory of how to go about estimating not just scalar parameters about a proposed model, but also the underlying structure of the model itself. Classic statistical tools are used: the law of large numbers, and the central limit theorem. Researchers have recently developed creative and original methods to use these tools in sophisticated (but highly technical) ways to reveal new details about the underlying structure. For the first time in book form, the authors present these latest techniques, based on research from the last 10 years. They include new findings.

This book will be of special interest to researchers, combining the theory of mathematical finance with its investigation using market data, and it will also prove to be useful in a broad range of applications, such as to mathematical biology, chemical engineering, and physics.
Zusammenfassung

The first and so far the only book in this area

Presents the important results in a coherent and unified manner

Includes systematic, creative and original ways to use sophisticated (but highly technical) tools

Includes supplementary material: [...]

Inhaltsverzeichnis
Part I Introduction and Preliminary Material.- 1.Introduction .- [...] Prerequisites.- Part II The Basic Results.- [...] of Large Numbers: the Basic Results.- 4.Central Limit Theorems: Technical Tools.- 5.Central Limit Theorems: the Basic Results.- 6.Integrated Discretization Error.- Part III More Laws of Large Numbers.- [...] Extension: Random Weights.- 8.Second Extension: Functions of Several Increments.- [...] Extension: Truncated Functionals.- Part IV Extensions of the Central Limit Theorems.- [...] Central Limit Theorem for Random Weights.- [...] Central Limit Theorem for Functions of a Finite Number of Increments.- [...] Central Limit Theorem for Functions of an Increasing Number of Increments.- [...] Central Limit Theorem for Truncated Functionals.- Part V Various Extensions.- 14.Irregular Discretization Schemes. 15.Higher Order Limit Theorems.- 16.Semimartingales Contaminated by Noise.- Appendix.- References.- Assumptions.- Index of Functionals.- Index.
Details
Erscheinungsjahr: 2011
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Stochastic Modelling and Applied Probability
Inhalt: xvi
596 S.
ISBN-13: 9783642241260
ISBN-10: 3642241263
Sprache: Englisch
Herstellernummer: 80073006
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Protter, Philip
Jacod, Jean
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Stochastic Modelling and Applied Probability
Maße: 241 x 160 x 39 mm
Von/Mit: Philip Protter (u. a.)
Erscheinungsdatum: 23.10.2011
Gewicht: 1,074 kg
Artikel-ID: 106770492
Zusammenfassung

The first and so far the only book in this area

Presents the important results in a coherent and unified manner

Includes systematic, creative and original ways to use sophisticated (but highly technical) tools

Includes supplementary material: [...]

Inhaltsverzeichnis
Part I Introduction and Preliminary Material.- 1.Introduction .- [...] Prerequisites.- Part II The Basic Results.- [...] of Large Numbers: the Basic Results.- 4.Central Limit Theorems: Technical Tools.- 5.Central Limit Theorems: the Basic Results.- 6.Integrated Discretization Error.- Part III More Laws of Large Numbers.- [...] Extension: Random Weights.- 8.Second Extension: Functions of Several Increments.- [...] Extension: Truncated Functionals.- Part IV Extensions of the Central Limit Theorems.- [...] Central Limit Theorem for Random Weights.- [...] Central Limit Theorem for Functions of a Finite Number of Increments.- [...] Central Limit Theorem for Functions of an Increasing Number of Increments.- [...] Central Limit Theorem for Truncated Functionals.- Part V Various Extensions.- 14.Irregular Discretization Schemes. 15.Higher Order Limit Theorems.- 16.Semimartingales Contaminated by Noise.- Appendix.- References.- Assumptions.- Index of Functionals.- Index.
Details
Erscheinungsjahr: 2011
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Stochastic Modelling and Applied Probability
Inhalt: xvi
596 S.
ISBN-13: 9783642241260
ISBN-10: 3642241263
Sprache: Englisch
Herstellernummer: 80073006
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Protter, Philip
Jacod, Jean
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Stochastic Modelling and Applied Probability
Maße: 241 x 160 x 39 mm
Von/Mit: Philip Protter (u. a.)
Erscheinungsdatum: 23.10.2011
Gewicht: 1,074 kg
Artikel-ID: 106770492
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