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Bayesian Computational Analyses using R software

  • 1.  Bayesian Computational Analyses using R software

    Posted 03-09-2015 08:37

    Early registration through March 31, 2015

    Live, online, interactive 8-session course begins April 30 with AM and PM sessions. HD audio and video recordings of live workshop sessions provided to all participants afterwards.

    Learn to conduct: Prediction; Dealing with proportions; Discrete priors; Beta priors;
    Single-parameter, normally distributed models with known means and unknown variance; Bayesian robustness; Mixtures of conjugate priors;
    Multi-parameter models: Normal data with 2 unknown parameters; Comparing two proportions;
    Bayesian computation: Monte Carlo simulation; Model comparisons; Comparing hypotheses; Regression models: Normal linear regression; and more.

    Visit:  http://tinyurl.com/mybayesian

    Geoff Hubona