Professor David A. StephensDAStephens

Department of Mathematics & Statistics

McGill University

I am a statistician working on Bayesian inference and applications. My main areas of applied interest include

Bioinformatics, statistical genetics, computational methods in biology
Causal inference
Survival/reliability analysis
Time series analysis
For a list of publications please see my Google scholar page here.


Mathematics & Statistics

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Faculty of Science

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McGill University

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This is an example of the use of auxiliary variables in improving the performance of an MCMC algorithm.  The model is the Ising model: on the left, the Gibbs sampler updates lead to slow mixing, on the right, the Swendsen-Wang algorithm leads to dramatically improved performance.