Fast and accurate detection of evolutionary shifts in Ornstein–Uhlenbeck models

By Mohammad Hassan Khabbazian, R. Kriebel, Karl Rohe, Cécile Ané. 2016

223 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/4a73bf0f2f2db0995a32cc447ab686d4fa6d350a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Roger B. J. Benson
2. Matthew Carrano
3. G. Hunt

In Nature and Landscape Conservation

1. Roger B. J. Benson
2. Matthew Carrano
3. G. Hunt
4. N. Campione
5. O. Mateus
6. O. Rauhut
7. R. Araújo
8. Christophe Hendrickx

In Paleontology

1. Roger B. J. Benson
2. N. Campione
3. Matthew Carrano
4. G. Hunt
5. O. Mateus
6. O. Rauhut
7. R. Araújo
8. Christophe Hendrickx

Citations in the corpus

• The Generalized Lasso Problem and Uniqueness (2018, background): “, 2014), evolutionary shift detection on phylogenetic trees, (Khabbazian et al., 2016), motion-capture tracking (Madrid-Padilla and Scott, 2017), and longitudinal prediction of disease progression (Adhikari et al.”
• Cope's rule and the adaptive landscape of dinosaur body size evolution (2018, methodology): “To address the problems with existing optimality criteria such as AICc, Khabbazian et al. (2016) proposed a new information criterion, ‘pBIC’ (phylogenetic Bayesian information criterion). pBIC makes use of the effective sample size of those taxa providing information about the trait optimum at…”