Modeling pulsed evolution and time-independent variation improves the confidence level of ancestral and hidden state predictions

Yingnan Gao & Martin Wu
Ancestral state reconstruction is not only a fundamental tool for studying trait evolution, but also very useful for predicting the unknown trait values (hidden states) of extant species. A well-known problem in ancestral and hidden state predictions is that the uncertainty associated with predictions can be so large that predictions themselves are of little use. Therefore, for meaningful interpretation of predicted traits and hypothesis testing, it is prudent to accurately assess the uncertainty of the...
1 citation reported since publication in 2021.
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