Journal of Theoretical BiologyEvolutionary BiologyPeer-reviewed journal article
A Consistent Estimator of the Evolutionary Rate
Abstract
We consider a branching particle system where particles reproduce according to the pure birth Yule process with the birth rate {lambda}, conditioned on the observed number of particles to be equal n. Particles are assumed to move independently on the real line according to the Brownian motion with the local variance {sigma}2. In this paper we treat n particles as a sample of related species. The spatial Brownian motion of a particle describes the development of a trait value of interest (e.g. log-body-size). We propose an unbiased estimator [Formula] of the evolutionary rate{rho} 2 ={sigma}2/{lambda}. The estimator [Formula] is proportional to the sample variance [Formula] computed from n trait values. We find an approximate formula for the standard error of [Formula] based on a neat asymptotic relation for the variance of [Formula].
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Statistical and structural bias in birth-death models
Jeremy M. Beaulieu, Brian C. O’Meara·Bulletin of Mathematical BiologyPeer-reviewed·Apr 17, 2026
- Phylogenies and diversification rates: variance cannot be ignored
D. L. Rabosky·bioRxiv·Sep 6, 2018
- Phylogenetic confidence intervals for the optimal trait value
Krzysztof Bartoszek, Serik Sagitov·Journal of Applied ProbabilityPeer-reviewed·Mar 30, 2016
- A variable-rate quantitative trait evolution model using penalized-likelihood
L. J. Revell·bioRxiv·Apr 17, 2021
- Trait evolution with jumps: illusionary normality
Krzysztof Bartoszek·bioRxiv·Sep 14, 2017
- Beyond Brownian motion and the Ornstein-Uhlenbeck process: Stochastic diffusion models for the evolution of quantitative characters.
S. P. Blomberg·bioRxiv·Aug 2, 2016