Kingman's coalescent, non-parametric Bayesian agglomerative clustering
- đ¤ Speaker: David MacKay (Cavendish Laboratory)
- đ Date & Time: Monday 27 August 2007, 11:00 - 12:00
- đ Venue: TCM Seminar Room, Cavendish Laboratory, Department of Physics
Abstract
Kingman’s coalescent can be obtained as the continuous/infinite limit of the following process: at each time t there is a population of N individuals; each individual picks a parent at random from the previous generation of individuals, located in time t+1/N.
The paper for journal club will be the NIPS submission by YWT : “Bayesian agglomerative clustering”.
Other relevant papers for this journal club (optional reading) (sorry, url’s don’t work any more)
- Kingman 1982a On the Genealogy of Large Populations, J. F. C. Kingman, Journal of Applied Probability, 19, 1982
- Kingman 1982b The Coalescent, J. F. C. Kingman, Stochastic Systems and their Applications, 13, 1982
/home/ftp/pub/www/mackay/secret/paper_760coalescent.pdf
Series This talk is part of the Machine Learning Journal Club series.
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Monday 27 August 2007, 11:00-12:00