Stochastic properties of speciation and extinction models

Host Faculty: Engineering
General Subject Area: Statistics and Data Science
Project Level: Masters
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How do species evolve (and go extinct) through time? The 'shape' of evolutionary trees reconstructed from genetic data, and calibrated with fossil evidence, provides some clues. However to test competing hypotheses requires understanding the mathematical and statistical properties of different speciation and extinction models. This project will survey what is know in this area, then identify, and possibly answer one of several remaining questions. This project will suit a student with a solid background in probability theory, and linear ordinary differential equation modeling. Programming experience may also be helpful.

Supervisors

Supervisor: Mike Steel

Does the project come with funding

No

Final date for receiving applications

Ongoing

Keywords

Mathematical Biology; Theoretical and Computational Statistics; Biology