University of Cambridge > > MRC Biostatistics Unit Seminars > Efficient Bayesian Segmentation of DNA data

Efficient Bayesian Segmentation of DNA data

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If you have a question about this talk, please contact Nikolaos Demiris.

I will describe efficient computational methods for analysing multiple changepoint models. These methods enable iid draws to be made from the posterior distribution, and thus avoid many of the drawbacks of reversible jump MCMC methods. They are easy to implement, and computationally efficient.

The methods will be demonstrated on two applications of segmentation taken from genetics.

This talk is part of the MRC Biostatistics Unit Seminars series.

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