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Kingman's coalescent, non-parametric Bayesian agglomerative clustering

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If you have a question about this talk, please contact Philip Sterne.

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


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