Rxivist logo

Beyond Brownian motion and the Ornstein-Uhlenbeck process: Stochastic diffusion models for the evolution of quantitative characters.

By Simon Phillip Blomberg

Posted 02 Aug 2016
bioRxiv DOI: 10.1101/067363 (published DOI: 10.1086/706339)

Gaussian processes such as Brownian motion and the Ornstein-Uhlenbeck process have been popular models for the evolution of quantitative traits and are widely used in phylogenetic comparative methods. However, they have drawbacks which limit their utility. Here I describe new, non-Gaussian stochastic differential equation (diffusion) models of quantitative trait evolution. I present general methods for deriving new diffusion models, and discuss possible schemes for fitting non-Gaussian evolutionary models to trait data. The theory of stochastic processes provides a mathematical framework for understanding the properties of current, new and future phylogenetic comparative methods. Attention to the mathematical details of models of trait evolution and diversification may help avoid some pitfalls when using stochastic processes to model macroevolution.

Download data

  • Downloaded 3,968 times
  • Download rankings, all-time:
    • Site-wide: 1,056 out of 84,908
    • In evolutionary biology: 32 out of 5,252
  • Year to date:
    • Site-wide: 4,020 out of 84,908
  • Since beginning of last month:
    • Site-wide: 3,678 out of 84,908

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)