2022
DOI: 10.1007/s00285-022-01715-5
|View full text |Cite
|
Sign up to set email alerts
|

Ancestral state reconstruction with large numbers of sequences and edge-length estimation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…Many popular tree reconstruction methods such as maximum parsimony, neighbourjoining, and quartet puzzling only return the tree topology. A recent study shows that for discrete traits, the big bang condition may not guarantee the existence of a consistent ancestral state reconstruction method when branch lengths are unknown (Ho and Susko, 2022). An open question is whether the big bang condition is still a sufficient condition for the existence of a consistent estimator for the ancestral state of continuous traits.…”
Section: Discussionmentioning
confidence: 99%
“…Many popular tree reconstruction methods such as maximum parsimony, neighbourjoining, and quartet puzzling only return the tree topology. A recent study shows that for discrete traits, the big bang condition may not guarantee the existence of a consistent ancestral state reconstruction method when branch lengths are unknown (Ho and Susko, 2022). An open question is whether the big bang condition is still a sufficient condition for the existence of a consistent estimator for the ancestral state of continuous traits.…”
Section: Discussionmentioning
confidence: 99%