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

theory of static and time-varying stochastic models for multivariate association based on the concept of copulas. These functions enable a;

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On Copula Density Estimation and Measures of Multivariate Association

properties of mutual information as a measure of multivariate association, possibilities to estimate the copula density based on observations;

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Dependence Modeling with Copulas

generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also;

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Dependence Modeling with Copulas

generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also;

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Elements of Copula Modeling with R

, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without;

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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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Copulas for Risk Management

of copulas in many fields. The copula-based approach is implemented by specifying the margins and the dependence structure represented by a certain;

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Margining Systems For An Energy Exchange

the margin models applied by clearing houses have hardly changed. The margin systems SPAN and TIMS are based on simple calculation;

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Copulas and their Applications in Water Resources Engineering

are organized based on applications, such as flood frequency analysis and water quality analysis. Illustrating how to apply the copula method;

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Eco-Stats: Data Analysis in Ecology

multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate;

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Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online;

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Usage of Risk Measures in Management of Investment Portfolios

multivariate modeling. The research and empirical study is limited to the usage of Lower Partial Moments (as an example of downside risk measures) and;

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Multivariate Frequency Analysis of Hydro-Meteorological Variables

Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed;

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Copula Theory and Its Applications

-to-date account of essential aspects of copula models. Part II - Contributions collects the extended versions of 6 talks selected from;

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Introduction to Bayesian Estimation and Copula Models of Dependence

Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analysis to copula modeling and equips;

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Copulas and Its Application in Hydrology and Water Resources

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and;

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Model-Driven Online Capacity Management for Component-Based Software Systems

systems are exposed to highly varying workloads. Employing static capacity management, this leads to unnecessarily high total cost of ownership;

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Time Series

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling;

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Univariate and Multivariate Statistical Process Control

offers the developments and analyses of univariate and multivariate control charts, which are based on a generalized likelihood ratio (GLR;

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Statistical Modeling Using Local Gaussian Approximation

most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation;

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Time Series Algorithms Recipes

. You'll also gain insight into classic machine learning-based regression models like randomForest, Xgboost, and LightGBM for forecasting problems;

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Rigid-Flexible Coupling Dynamics and Control of Flexible Spacecraft with Time-Varying Parameters

This book presents the dynamic modeling and attitude control of flexible spacecraft with time-varying parameters. The dynamic;

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Analysis of Survival Data with Dependent Censoring

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily;

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Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences

This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying;

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Linear Models and TimeSeries Analysis

analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and;

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Multivariate Time Series Analysis

of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial;

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Longitudinal Multivariate Psychology

of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major;

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