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Copula Theory And Its Applications


Copula Theory And Its Applications
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Copula Theory And Its Applications


Copula Theory And Its Applications
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Author : Piotr Jaworski
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-16

Copula Theory And Its Applications written by Piotr Jaworski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-16 with Mathematics categories.


Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 50's, copulas have gained considerable popularity in several fields of applied mathematics, such as finance, insurance and reliability theory. Today, they represent a well-recognized tool for market and credit models, aggregation of risks, portfolio selection, etc. This book is divided into two main parts: Part I - "Surveys" contains 11 chapters that provide an up-to-date account of essential aspects of copula models. Part II - "Contributions" collects the extended versions of 6 talks selected from papers presented at the workshop in Warsaw.



Copulas And Dependence Models With Applications


Copulas And Dependence Models With Applications
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Author : Manuel Úbeda Flores
language : en
Publisher: Springer
Release Date : 2017-10-13

Copulas And Dependence Models With Applications written by Manuel Úbeda Flores and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-13 with Mathematics categories.


This book presents contributions and review articles on the theory of copulas and their applications. The authoritative and refereed contributions review the latest findings in the area with emphasis on “classical” topics like distributions with fixed marginals, measures of association, construction of copulas with given additional information, etc. The book celebrates the 75th birthday of Professor Roger B. Nelsen and his outstanding contribution to the development of copula theory. Most of the book’s contributions were presented at the conference “Copulas and Their Applications” held in his honor in Almería, Spain, July 3-5, 2017. The chapter 'When Gumbel met Galambos' is published open access under a CC BY 4.0 license.



Copulas And Its Application In Hydrology And Water Resources


Copulas And Its Application In Hydrology And Water Resources
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Author : Lu Chen
language : en
Publisher: Springer
Release Date : 2018-06-28

Copulas And Its Application In Hydrology And Water Resources written by Lu Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-28 with Science categories.


This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.



Copula Theory And Its Applications In Computer Networks


Copula Theory And Its Applications In Computer Networks
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Author : Fang Dong
language : en
Publisher:
Release Date : 2017

Copula Theory And Its Applications In Computer Networks written by Fang Dong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


Traffic modeling in computer networks has been researched for decades. A good model should reflect the features of real-world network traffic. With a good model, synthetic traffic data can be generated for experimental studies; network performance can be analysed mathematically; service provisioning and scheduling can be designed aligning with traffic changes. An important part of traffic modeling is to capture the dependence, either the dependence among different traffic flows or the temporal dependence within the same traffic flow. Nevertheless, the power of dependence models, especially those that capture the functional dependence, has not been fully explored in the domain of computer networks. This thesis studies copula theory, a theory to describe dependence between random variables, and applies it for better performance evaluation and network resource provisioning. We apply copula to model both contemporaneous dependence between traffic flows and temporal dependence within the same flow. The dependence models are powerful and capture the functional dependence beyond the linear scope. With numerical examples, real-world experiments and simulations, we show that copula modeling can benefit many applications in computer networks, including, for example, tightening performance bounds in statistical network calculus, capturing full dependence structure in Markov Modulated Poisson Process (MMPP), MMPP parameter estimation, and predictive resource provisioning for cloud-based composite services.



Principles Of Copula Theory


Principles Of Copula Theory
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Author : Fabrizio Durante
language : en
Publisher: CRC Press
Release Date : 2015-07-01

Principles Of Copula Theory written by Fabrizio Durante and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-01 with Mathematics categories.


This book gives readers the solid and formal mathematical background to apply copulas to a range of mathematical areas, such as probability, real analysis, measure theory, and algebraic structures. The authors prove the results as simply as possible and unify various methods scattered throughout the literature in common frameworks, including shuffles of copulas. They also explore connections with related functions, such as quasi-copulas, semi-copulas, and triangular norms, that have been used in different domains.



Copulas


Copulas
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Author : Jörn Rank
language : en
Publisher: Bloomberg Press
Release Date : 2007

Copulas written by Jörn Rank and has been published by Bloomberg Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.


The use of copulas becoming increasingly important in finance. This book provides a varied perspective of their usage within the field of financial risk management and derivative pricing. It involves a detailed analysis of the field of financial risk management and derivative pricing, and delves into the theoretical aspects.



Dynamic Copula Methods In Finance


Dynamic Copula Methods In Finance
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Author : Umberto Cherubini
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-20

Dynamic Copula Methods In Finance written by Umberto Cherubini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-20 with Business & Economics categories.


The latest tools and techniques for pricing and risk management This book introduces readers to the use of copula functions to represent the dynamics of financial assets and risk factors, integrated temporal and cross-section applications. The first part of the book will briefly introduce the standard the theory of copula functions, before examining the link between copulas and Markov processes. It will then introduce new techniques to design Markov processes that are suited to represent the dynamics of market risk factors and their co-movement, providing techniques to both estimate and simulate such dynamics. The second part of the book will show readers how to apply these methods to the evaluation of pricing of multivariate derivative contracts in the equity and credit markets. It will then move on to explore the applications of joint temporal and cross-section aggregation to the problem of risk integration.



Copulas And Their Applications In Water Resources Engineering


Copulas And Their Applications In Water Resources Engineering
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Author : Lan Zhang
language : en
Publisher: Cambridge University Press
Release Date : 2019-01-10

Copulas And Their Applications In Water Resources Engineering written by Lan Zhang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-10 with Mathematics categories.


Illustration of copula theory with detailed real-world case study examples in the fields of hydrology and water resources engineering.



The Fourier Copula


The Fourier Copula
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Author : Jeremiah L. Lowin
language : en
Publisher:
Release Date : 2007

The Fourier Copula written by Jeremiah L. Lowin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




An Introduction To Copulas


An Introduction To Copulas
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Author : Roger B. Nelsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

An Introduction To Copulas written by Roger B. Nelsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.


Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required. Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of "Proofs Without Words: Exercises in Visual Thinking," published by the Mathematical Association of America.