Bayesian Phylogenetics: Methods, Algorithms, and Applications

Bayesian phylogenetics is a powerful tool for evolutionary biologists, systematists, ecologists, and epidemiologists to answer detailed phylogenetic questions. This book provides an overview of current trends in Bayesian phylogenetic research, emphasizing model selection, mixing, divergence time estimation, and the interface between phylogenetics and population genetics. It is suitable for graduate-level researchers in statistics and biology.

Format: Paperback / softback
Length: 396 pages
Publication date: 13 June 2022
Publisher: Taylor & Francis Ltd

Bayesian phylogenetics is a powerful tool that enables evolutionary biologists, systematists, ecologists, and epidemiologists to delve into intricate phylogenetic questions with remarkable precision. This approach offers a diverse range of models, allowing researchers to explore a wide array of evolutionary scenarios. With its suitability for graduate-level researchers in statistics and biology, Bayesian Phylogenetics: Methods, Algorithms, and Applications provides a comprehensive overview of the current trends in Bayesian phylogenetic research.

By fostering interdisciplinary collaboration, this book introduces state-of-the-art phylogenetics to the Bayesian statistical community, while also presenting state-of-the-art Bayesian statistics to the phylogenetics community. The book emphasizes the importance of model selection, reflecting the growing interest in accurately estimating marginal likelihoods. It also delves into innovative approaches to enhance mixing in Bayesian phylogenetic analyses, particularly when dealing with tree topologies that exhibit significant variation. Furthermore, the book covers divergence time estimation, the development of biologically realistic models, and the growing interface between phylogenetics and population genetics.

In summary, Bayesian phylogenetics is a transformative tool that empowers researchers to unravel the complexities of evolutionary history with remarkable accuracy. By leveraging a wide range of models and interdisciplinary approaches, this approach enables scientists to gain a deeper understanding of the diversity of life and its evolutionary processes. Bayesian Phylogenetics: Methods, Algorithms, and Applications serves as a valuable resource for graduate-level researchers seeking to advance their knowledge in this field.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032340234