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Elements of Copula Modeling with R

distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate;

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Copula Modeling

provides practitioners and scholars with a useful guide to copula modeling with a focus on estimation and misspecification. The authors cover;

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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including;

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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including;

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Introduction to Bayesian Estimation and Copula Models of Dependence

readers with the tools needed to implement the procedures of Bayesian estimation in copula models of dependence. This book is structured in two;

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Copulas for Risk Management

be modeled and the scale-invariant measures of dependence might be considered. With this problem in popularity has come a rise in the need;

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On Copula Density Estimation and Measures of Multivariate Association

financial modeling. Well-known measures like Spearman's rho and Kendall's tau can be expressed in terms of the underlying copula only, hence, being;

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Principles of Copula Theory

Principles of Copula Theory explores the state of the art on copulas and provides you with the foundation to use copulas in a variety;

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Analysis of Survival Data with Dependent Censoring

. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients;

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Statistical Modeling Using Local Gaussian Approximation

Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters;

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Copula Methods in Finance

Copula Methods in Finance is the first book to address the mathematics of copula functions illustrated with finance applications. It;

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Margining Systems For An Energy Exchange

variation of it, the grouped T-copula, with a Gaussian copula and the TIMS system and proves the superiority of the T-copula models.;

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System Dynamics Modeling with R

interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence;

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Using R for Item Response Theory Model Applications

, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This;

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Using R for Item Response Theory Model Applications

, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This;

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Multiscale Modeling of Particle Interactions

Computational biology and nanotechnology have become critical elements in particle interactions, esp;...

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Eco-Stats: Data Analysis in Ecology

biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and;

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Finite Element Modeling for Stress Analysis

Most books discuss the theory and computational procedures of finite elements (FE). In the past this;...

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Introduction to R for Terrestrial Ecology

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Modeling of Digital Communication Systems Using SIMULINK

A comprehensive and detailed treatment of the program SIMULINK(R) that focuses on SIMULINK(R) for simulations in Digital and Wireless;

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Strain Hardening Cement Composites: Structural Design and Performance

. Reinforced SHCC elements (R/SHCC) indicate large energy absorbing performance under large seismic excitation. Against various types of loads, R/SHCC;

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Vehicle Dynamics

* Comprehensively covers the fundamentals of vehicle dynamics with application to automotive mechatronics * Presents a number of different;

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Multilevel Modeling

Multilevel Modeling: Applications in STATA (R), IBM (R) SPSS (R), SAS (R), R & HLM (TM) provides a gentle, hands-on illustration of the;

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Elements of Matrix Modeling and Computing with MATLAB

. Encompassing a diverse mathematical core, Elements of Matrix Modeling and Computing with MATLAB examines a variety of applications and their modeling;

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Econometrics and Risk Management

contributions by both practitioners and theoreticians with expertise in financial markets, in general, and econometrics and mathematical finance;

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Contributions to Static and Time-Varying Copula-Based Modeling of Multivariate Association

current structure of association, it is crucial to assess the constancy of the structure. Therefore, nonparametric tests for a constant copula;

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Graphical Models with R

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the;

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