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Jessica Utts, Professor of Statistics, is interested in applied statistics, and has published most extensively on the use of statistics in parapsychology.

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Introduction to the Bayesian approach to statistical inference. Topics include univariate and multivariate models, choice of prior distributions, hierarchical models, computation including Markov chain Monte Carlo, model checking, and model selection.