Introduction to Bayesian Estimation and Copula Models of Dependence
by Arkady Shemyakin, Alexander Kniazev
This book introduces Bayesian estimation and copula models of dependence, bringing together two important statistical perspectives. It offers a focused starting point for readers interested in estimation methods, dependence modeling, and the mathematical ideas underlying these approaches.
About This Book
Introduction to Bayesian Estimation and Copula Models of Dependence focuses on two important areas of statistical methodology: Bayesian estimation and copula-based modeling.
The book provides an entry point for readers studying methods used to describe dependence between variables and to approach estimation within a Bayesian framework.
Written by Arkady Shemyakin and Alexander Kniazev, it is suited to readers seeking a focused introduction to these interconnected topics.
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