Bayesian Phylogenetics: Methods, Algorithms, and Applications (Chapman & Hall/CRC Computational Biology Series)

📘 Book Details

• Publisher: CRC Press

• Author: Lynn Kuo

• Edition: 1

• Languages: English

• ISBN: 9781466500792

• Pages: 396

• Cover: Hardcover

• Dimensions: 9.3 x 6.0 x 1.1 inches

📝 About The Book

Bayesian Phylogenetics: Methods, Algorithms, and Applications by Lynn Kuo offers an in-depth and cutting-edge exploration of the use of Bayesian methods in phylogenetics. Tailored for graduate-level researchers in statistics and biology, this comprehensive volume bridges the gap between statistical modeling and evolutionary biology.

The book introduces readers to a diverse range of Bayesian phylogenetic models, placing strong emphasis on model selection, marginal likelihood estimation, and algorithmic improvements for better inference. With applications spanning evolutionary biology, systematics, epidemiology, and ecology, it empowers readers to tackle complex phylogenetic problems with precision.

Key topics include:

• Advanced Bayesian inference techniques in phylogenetics

• Tree topology variation and improved mixing strategies

• Estimation of divergence times and biologically realistic models

• Intersections between phylogenetics and population genetics

With contributions from leading experts and supported by real-world applications and illustrations, this book is a foundational reference for statisticians venturing into phylogenetics and for biologists interested in state-of-the-art Bayesian tools.

Whether you're a researcher, academic, or student, Bayesian Phylogenetics serves as an essential guide to modern statistical phylogenetic analysis.