Ancestral state reconstruction with large numbers of sequences and edge-length estimation
From MaRDI portal
Publication:2113521
DOI10.1007/s00285-022-01715-5zbMath1493.92039arXiv2104.00151OpenAlexW3141301832WikidataQ113905408 ScholiaQ113905408MaRDI QIDQ2113521
Publication date: 14 March 2022
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.00151
consistencymaximum likelihood estimatorevolutionphylogeneticsancestral state reconstructionempirical Bayes estimator
Related Items (2)
When can we reconstruct the ancestral state? Beyond Brownian motion ⋮ When can we reconstruct the ancestral state? A unified theory
Cites Work
- Inferring ancestral sequences in taxon-rich phylogenies
- Majority rule has transition ratio 4 on Yule trees under a 2-state symmetric model
- Analysis of comparative data with hierarchical autocorrelation
- Links between maximum likelihood and maximum parsimony under a simple model of site substitution
- On the accuracy of ancestral sequence reconstruction for ultrametric trees with parsimony
- Necessary and sufficient conditions for consistent root reconstruction in Markov models on trees
- Multi-task learning improves ancestral state reconstruction
- Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony
- Choosing the best ancestral character state reconstruction method
- A few logs suffice to build (almost) all trees. II
- Consistency and convergence rate of phylogenetic inference via regularization
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- A few logs suffice to build (almost) all trees (I)
- Consistent Estimates Based on Partially Consistent Observations
This page was built for publication: Ancestral state reconstruction with large numbers of sequences and edge-length estimation