Introduction to Bayesian Estimation and Copula Models of Dependence
by Arkady Shemyakin, Alexander Kniazev
Explores Bayesian estimation techniques and copula models for dependence, providing a rigorous foundation for advanced statistical analysis and joint distribution modeling.
About This Book
This book presents core principles of Bayesian estimation alongside copula models used to describe dependence between random variables.
Readers are guided through foundational concepts, theoretical frameworks, and practical considerations for modeling joint distributions.
The text emphasizes rigorous mathematical treatment suitable for advanced study in probability and statistics.
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