[HTML][HTML] Data integration in Bayesian phylogenetics
Researchers studying the evolution of viral pathogens and other organisms increasingly
encounter and use large and complex data sets from multiple different sources. Statistical …
encounter and use large and complex data sets from multiple different sources. Statistical …
How to validate a Bayesian evolutionary model
Biology has become a highly mathematical discipline in which probabilistic models play a
central role. As a result, research in the biological sciences is now dependent on …
central role. As a result, research in the biological sciences is now dependent on …
Automated convergence diagnostic for phylogenetic MCMC analyses
L Berling, R Bouckaert, A Gavryushkin - BioRxiv, 2023 - biorxiv.org
Convergence assessment in Markov chain Monte Carlo (MCMC) based analyses is crucial
but challenging, especially so in high dimensional and complex spaces such as the space of …
but challenging, especially so in high dimensional and complex spaces such as the space of …
On the importance of assessing topological convergence in Bayesian phylogenetic inference
M Brusselmans, LM Carvalho, SL Hong, J Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Modern phylogenetics research is often performed within a Bayesian framework, using
sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the …
sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the …
[图书][B] Big Bayesian Phylogenetic Comparative Methods
G Hassler - 2022 - search.proquest.com
Phylogenetic comparative methods seek to untangle the complex web of selective pressures
driving biological evolution. These methods seek to identify associations between different …
driving biological evolution. These methods seek to identify associations between different …