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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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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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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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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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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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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical;

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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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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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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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Margining Systems For An Energy Exchange

distributions of the single risk factors can be modelled separately from their multivariate dependence structure. It compares a T-copula model and a;

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Spatial and Spatiotemporal Econometrics

of existing methods are described. In addition to topics involving estimation and inference, approaches to model comparison and selection are set;

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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its;

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Bayesian Analysis of Linear Models

methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed;

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Bayesian Analysis of Linear Models

methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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On Copula Density Estimation and Measures of Multivariate Association

analyst. Instead, categorial data derived from the underlying continuous distribution may be given. Hence, estimation of the copula and its;

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Multilevel Analysis

variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using;

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Bayesian Phylogenetics

to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian;

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Theory Of Preliminary Test And Stein-Type Estimation With Applications

of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for;

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Analysis of Survival Data with Dependent Censoring

aimed at (bio-) statisticians. To deepen readers' understanding of copula-based approaches, the book provides an accessible introduction to;

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Bayesian Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified;

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Bayesian Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a;

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Selection Models for Nonignorable Missing Data

Bayesian estimation approaches are discussed. A selection model with a nonparametric missing model that allows to treat flexible missing patterns;

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