Principles of Copula Theory

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Publisher : CRC Press
ISBN 13 : 1439884447
Total Pages : 331 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Principles of Copula Theory by : Fabrizio Durante

Download or read book Principles of Copula Theory written by Fabrizio Durante and published by CRC Press. This book was released on 2015-07-01 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyzing Dependent Data with Vine Copulas

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Publisher :
ISBN 13 : 9783030137861
Total Pages : pages
Book Rating : 4.1/5 (378 download)

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Book Synopsis Analyzing Dependent Data with Vine Copulas by : Claudia Czado

Download or read book Analyzing Dependent Data with Vine Copulas written by Claudia Czado and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications in finance, insurance, hydrology, marketing, engineering, chemistry, aviation, climatology and health. The book explains the pair-copula construction principles underlying these statistical models and discusses how to perform model selection and inference. It also derives simulation algorithms and presents real-world examples to illustrate the methodological concepts. The book includes numerous exercises that facilitate and deepen readers understanding, and demonstrates how the R package VineCopula can be used to explore and build statistical dependence models from scratch. In closing, the book provides insights into recent developments and open research questions in vine copula based modeling. The book is intended for students as well as statisticians, data analysts and any other quantitatively oriented researchers who are new to the field of vine copulas. Accordingly, it provides the necessary background in multivariate statistics and copula theory for exploratory data tools, so that readers only need a basic grasp of statistics and probability.

Copulas and Their Applications in Water Resources Engineering

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Publisher : Cambridge University Press
ISBN 13 : 110847425X
Total Pages : 621 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Copulas and Their Applications in Water Resources Engineering by : Lan Zhang

Download or read book Copulas and Their Applications in Water Resources Engineering written by Lan Zhang and published by Cambridge University Press. This book was released on 2019-01-10 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustration of copula theory with detailed real-world case study examples in the fields of hydrology and water resources engineering.

Copulas and Its Application in Hydrology and Water Resources

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Author :
Publisher : Springer
ISBN 13 : 9811305749
Total Pages : 296 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Copulas and Its Application in Hydrology and Water Resources by : Lu Chen

Download or read book Copulas and Its Application in Hydrology and Water Resources written by Lu Chen and published by Springer. This book was released on 2018-06-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer Science & Business Media
ISBN 13 : 3642124658
Total Pages : 338 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Copula Theory and Its Applications by : Piotr Jaworski

Download or read book Copula Theory and Its Applications written by Piotr Jaworski and published by Springer Science & Business Media. This book was released on 2010-07-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Simulating Copulas

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Publisher : World Scientific
ISBN 13 : 1848168748
Total Pages : 310 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Simulating Copulas by : Jan-Frederik Mai

Download or read book Simulating Copulas written by Jan-Frederik Mai and published by World Scientific. This book was released on 2012 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with a background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for advanced undergraduate or graduate students with a firm background in stochastics. Alongside the theoretical foundation, ready-to-implement algorithms and many examples make this book a valuable tool for anyone who is applying the methodology.Errata(s)Errata (128 KB)

Elements of Copula Modeling with R

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Publisher : Springer
ISBN 13 : 3319896350
Total Pages : 267 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Elements of Copula Modeling with R by : Marius Hofert

Download or read book Elements of Copula Modeling with R written by Marius Hofert and published by Springer. This book was released on 2019-01-09 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate margins. They are increasingly applied to modeling dependence among random variables in fields such as risk management, actuarial science, insurance, finance, engineering, hydrology, climatology, and meteorology, to name a few. In the spirit of the Use R! series, each chapter combines key theoretical definitions or results with illustrations in R. Aimed at statisticians, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without an overwhelming amount of mathematics, the book can also be used for teaching a course on copula modeling.

Copulas and Dependence Models with Applications

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Publisher : Springer
ISBN 13 : 3319642219
Total Pages : 268 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Copulas and Dependence Models with Applications by : Manuel Úbeda Flores

Download or read book Copulas and Dependence Models with Applications written by Manuel Úbeda Flores and published by Springer. This book was released on 2017-10-13 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Semiotic Principles in Semantic Theory

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Publisher : John Benjamins Publishing
ISBN 13 : 9027280940
Total Pages : 268 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Semiotic Principles in Semantic Theory by : Neal R. Norrick

Download or read book Semiotic Principles in Semantic Theory written by Neal R. Norrick and published by John Benjamins Publishing. This book was released on 1981-01-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study represents a contribution to the theory of meaning in natural language. It proposes a semantic theory containing a set of regular relational principles. These principles enable semantic theory to describe connections from the lexical reading of a word to its figurative contextual reading, from one variant reading of a polysemous lexical item to another, from the idiomatic to its literal reading or to the literal reading(s) of one or more of its component lexical items. Semiotic theory provides a foundation by supplying principles defining motivated expression-content relations for signs generally. The author argues that regular semantic relational principles must dervive from such semiotic principles, to ensures the psychological reality and generality of the semantic principles.

Contributions to the Theory of Copula

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Publisher :
ISBN 13 :
Total Pages : 82 pages
Book Rating : 4.:/5 (43 download)

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Book Synopsis Contributions to the Theory of Copula by : Chun-Lin Fan

Download or read book Contributions to the Theory of Copula written by Chun-Lin Fan and published by . This book was released on 2009 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Handbook on Poverty and Inequality

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Publisher : Edward Elgar Publishing
ISBN 13 : 1800882300
Total Pages : 505 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Research Handbook on Poverty and Inequality by : Udaya R. Wagle

Download or read book Research Handbook on Poverty and Inequality written by Udaya R. Wagle and published by Edward Elgar Publishing. This book was released on 2023-05-09 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering global, comparative, and single-country contexts, this Research Handbook presents wide-ranging, cutting-edge research on poverty and inequality. It maps out international trends in poverty and inequality and explores the key conceptual and operational frameworks, practical analyses, and policy applications and outcomes.

Flood Risk Assessment and Management

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Publisher : Springer Science & Business Media
ISBN 13 : 9048199174
Total Pages : 281 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Flood Risk Assessment and Management by : Andreas H. Schumann

Download or read book Flood Risk Assessment and Management written by Andreas H. Schumann and published by Springer Science & Business Media. This book was released on 2011-01-04 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood catastrophes which happened world-wide have shown that it is not sufficient to characterize the hazard caused by the natural phenomenon "flood" with the well-known 3M-approach (measuring, mapping and modelling). Due to the recent shift in paradigms from a safety oriented approach to risk based planning it became necessary to consider the harmful impacts of hazards. The planning tasks changed from attempts to minimise hazards towards interventions to reduce exposure or susceptibility and nowadays to enhance the capacities to increase resilience. Scientific interest shifts more and more towards interdisciplinary approaches, which are needed to avoid disaster. This book deals with many aspects of flood risk management in a comprehensive way. As risks depend on hazard and vulnerabilities, not only geophysical tools for flood forecasting and planning are presented, but also socio-economic problems of flood management are discussed. Starting with precipitation and meteorological tools to its forecasting, hydrological models are described in their applications for operational flood forecasts, considering model uncertainties and their interactions with hydraulic and groundwater models. With regard to flood risk planning, regionalization aspects and the options to utilize historic floods are discussed. New hydrological tools for flood risk assessments for dams and reservoirs are presented. Problems and options to quantify socio-economic risks and how to consider them in multi-criteria assessments of flood risk planning are discussed. This book contributes to the contemporary efforts to reduce flood risk at the European scale. Using many real-world examples, it is useful for scientists and practitioners at different levels and with different interests.

Extreme and Systemic Risk Analysis

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Publisher : Springer Nature
ISBN 13 : 9811526893
Total Pages : 166 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Extreme and Systemic Risk Analysis by : Stefan Hochrainer-Stigler

Download or read book Extreme and Systemic Risk Analysis written by Stefan Hochrainer-Stigler and published by Springer Nature. This book was released on 2020-04-06 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about how extreme and systemic risk can be analyzed in an integrated way. Risk analysis is understood to include measurement, assessment as well as management aspects. Integration is understood as being able to perform risk analysis for extreme and systemic events simultaneously. The presented approach is based on Sklar's theorem, which states that a multivariate distribution can be separated into two parts – one describing the marginal distributions and the other describing the dependency between the distributions using a so-called copula. It is suggested to reinterpret Sklar's theorem from a system or network perspective, treating copulas as a network property and individual, including extreme, risk as elements within the network. In that way, extreme and systemic risk can be analyzed independently as well as jointly across several scales. The book is intended for a large audience, and all techniques presented are guided with examples and applications with a special focus on natural disaster events. Furthermore, an extensive literature and discussion of it are given in each chapter for the interested reader.

Loss Data Analysis

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110516071
Total Pages : 210 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Loss Data Analysis by : Henryk Gzyl

Download or read book Loss Data Analysis written by Henryk Gzyl and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-02-05 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures

Introduction to Bayesian Estimation and Copula Models of Dependence

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Publisher : John Wiley & Sons
ISBN 13 : 1118959019
Total Pages : 314 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Introduction to Bayesian Estimation and Copula Models of Dependence by : Arkady Shemyakin

Download or read book Introduction to Bayesian Estimation and Copula Models of Dependence written by Arkady Shemyakin and published by John Wiley & Sons. This book was released on 2017-03-20 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analysis to copula modeling and equips readers with the tools needed to implement the procedures of Bayesian estimation in copula models of dependence. This book is structured in two parts: the first four chapters serve as a general introduction to Bayesian statistics with a clear emphasis on parametric estimation and the following four chapters stress statistical models of dependence with a focus of copulas. A review of the main concepts is discussed along with the basics of Bayesian statistics including prior information and experimental data, prior and posterior distributions, with an emphasis on Bayesian parametric estimation. The basic mathematical background of both Markov chains and Monte Carlo integration and simulation is also provided. The authors discuss statistical models of dependence with a focus on copulas and present a brief survey of pre-copula dependence models. The main definitions and notations of copula models are summarized followed by discussions of real-world cases that address particular risk management problems. In addition, this book includes: • Practical examples of copulas in use including within the Basel Accord II documents that regulate the world banking system as well as examples of Bayesian methods within current FDA recommendations • Step-by-step procedures of multivariate data analysis and copula modeling, allowing readers to gain insight for their own applied research and studies • Separate reference lists within each chapter and end-of-the-chapter exercises within Chapters 2 through 8 • A companion website containing appendices: data files and demo files in Microsoft® Office Excel®, basic code in R, and selected exercise solutions Introduction to Bayesian Estimation and Copula Models of Dependence is a reference and resource for statisticians who need to learn formal Bayesian analysis as well as professionals within analytical and risk management departments of banks and insurance companies who are involved in quantitative analysis and forecasting. This book can also be used as a textbook for upper-undergraduate and graduate-level courses in Bayesian statistics and analysis. ARKADY SHEMYAKIN, PhD, is Professor in the Department of Mathematics and Director of the Statistics Program at the University of St. Thomas. A member of the American Statistical Association and the International Society for Bayesian Analysis, Dr. Shemyakin's research interests include informationtheory, Bayesian methods of parametric estimation, and copula models in actuarial mathematics, finance, and engineering. ALEXANDER KNIAZEV, PhD, is Associate Professor and Head of the Department of Mathematics at Astrakhan State University in Russia. Dr. Kniazev's research interests include representation theory of Lie algebras and finite groups, mathematical statistics, econometrics, and financial mathematics.

Soft Methods for Data Science

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Publisher : Springer
ISBN 13 : 3319429728
Total Pages : 538 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Soft Methods for Data Science by : Maria Brigida Ferraro

Download or read book Soft Methods for Data Science written by Maria Brigida Ferraro and published by Springer. This book was released on 2016-08-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.

Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

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Publisher : Springer Nature
ISBN 13 : 3031659937
Total Pages : 579 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Combining, Modelling and Analyzing Imprecision, Randomness and Dependence by : Jonathan Ansari

Download or read book Combining, Modelling and Analyzing Imprecision, Randomness and Dependence written by Jonathan Ansari and published by Springer Nature. This book was released on with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: