Peter Beerli: Population genetics using trees

The summary provides an overview. The first lecture introduces the basic coalescent, and how we can infer parameters using these theoretical findings using a maximum likelihood approach. In addition an introduction to Markov chain Monte Carlo searches using the Metropolis algorithm is given. The second lecture introduces the method of Griffiths and Tavare and describes extensions of the basic coalescent.