Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective
Explore Bayesian approaches to population analysis with a focus on hierarchical modeling using WinBUGS. This book by Marc Kéry and Michael Schaub offers practical insights for ecologists and statisticians, covering essential techniques for handling complex data structures in population studies. Ideal for building reliable models in ecological research.
About This Book
Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective introduces readers to the application of Bayesian methods in population modeling. Authored by Marc Kéry and Michael Schaub, it emphasizes hierarchical structures to address variability in ecological data.
The text leverages WinBUGS, a widely used software for Bayesian inference, to demonstrate practical implementations. It covers foundational concepts and advances to sophisticated analyses suitable for population studies.
Designed for researchers in ecology and related fields, the book promotes a hierarchical viewpoint that integrates multiple levels of data, enhancing the accuracy of population estimates and predictions.
Through detailed examples and methodological guidance, it supports the development of robust statistical models without requiring extensive prior programming knowledge.
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