Persi Diaconis
homepage: | http://www-stat.stanford.edu/~cgates/PERSI/ |
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Description
Persi Diaconis is Professor of Mathematics and Statistics at Stanford University. He works in the mathematics and practice of Bayesian statistics (conjugacy, consistency properties of Dirichlet priors, deFinetti's theorem). In rates of convergence for Markov chains to stationality (how many times to shuffle cards, understanding the Metropolis algorithm, geometric theory of Markov chains). He also works in combinatorics, group theory, and random matrix theory and in the philosophy of probability.
Lectures:
invited talk![]() as author at 23rd Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2009, 10402 views |
invited talk![]() as author at Probabilistic Numerics, 6104 views |
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lecture![]() as author at International Society for Bayesian Analysis (ISBA), Sardinia 2016, 1636 views |