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Learn Bayesian computational analyses with R software

  • 1.  Learn Bayesian computational analyses with R software

    Posted 10-29-2014 06:04

    Early registration ends this Friday, Oct 31 at midnight.

    Visit http://tinyurl.com/mybayesian

    Live, online, interactive 8-session course begins early January with AM and PM sessions to reach everyone. 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; Multinomial models; Comparing two proportions;
    Bayesian computation: Computing integrals; Monte carlo simulation.
    Hierarchical modeling: Model comparisons; Comparing hypotheses.
    Regression models: Normal linear regression; Prediction of future observations.

    Visit http://tinyurl.com/mybayesian

    Geoff Hubona

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