Kingman's coalescent, non-parametric Bayesian agglomerative clustering

Add to your list(s) Download to your calendar using vCal

• David MacKay (Cavendish Laboratory)
• Monday 27 August 2007, 11:00-12:00
• TCM Seminar Room, Cavendish Laboratory, Department of Physics.

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

/home/ftp/pub/www/mackay/secret/paper_760coalescent.pdf

This talk is part of the Machine Learning Journal Club series.

This talk is included in these lists:

• Cambridge talks
• Guy Emerson's list
• Hanchen DaDaDash
• Inference Group Journal Clubs
• Inference Group Summary
• Interested Talks
• ML
• Machine Learning Journal Club
• Machine Learning Summary
• Quantum Matter Journal Club
• TCM Seminar Room, Cavendish Laboratory, Department of Physics
• TQS Journal Clubs
• rp587
• yk373's list

Note that ex-directory lists are not shown.