Year: 2015
Type: article
Abstract: We consider a stochastic evolutionary model for a phenotype developing amongstnrelated species with unknown phylogeny. The unknown tree is modelled by a Yule process conditioned onncontemporary nodes. The trait value is assumed to evolve along lineages as an Ornstein-Uhlenbeck process. As a result, the trait values of thenspecies form a sample with dependent observations. We establish three limit theorems for the sample mean corresponding to three domains for the adaptation rate. In the case of fast adaptation, we show that for largenthe normalized sample mean is approximately normally distributed. Using these limit theorems, we develop novel confidence interval formulae for the optimal trait value.
Source: Journal of Applied Probability
Authors: Krzysztof Bartoszek, Serik Sagitov
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
Award: G6902132488
OpenAlex ID: W1818307972
