Finding high posterior density phylogenies by systematically extending a directed acyclic graph
Abstract Bayesian phylogenetics typically estimates a posterior distribution, or aspects thereof, using Markov chain Monte Carlo methods. These methods integrate over tree space by applying local rearrangements to move a tree through its space as a random walk. Previous work explored the possibility...
Saved in:
| Main Authors: | Chris Jennings-Shaffer, David H. Rich, Matthew Macaulay, Michael D. Karcher, Tanvi Ganapathy, Shosuke Kiami, Anna Kooperberg, Cheng Zhang, Marc A. Suchard, Frederick A. Matsen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | Algorithms for Molecular Biology |
| Online Access: | https://doi.org/10.1186/s13015-025-00273-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Note on Pseudofinite Acyclic Graphs
by: N. D. Markhabatov, et al.
Published: (2024-12-01) -
Importance of directed acyclic graphs in medical education
by: AlleaBelle Bradshaw, et al.
Published: (2025-05-01) -
On the current and future potential of simulations based on directed acyclic graphs
by: Lutz P. Breitling, et al.
Published: (2025-06-01) -
Constructing Fair Destination-Oriented Directed Acyclic Graphs for Multipath Routing
by: Katarzyna Kalinowska-Górska, et al.
Published: (2014-01-01) -
Structural Learning about Directed Acyclic Graphs from Multiple Databases
by: Qiang Zhao
Published: (2012-01-01)