Learn Bayesian computational analyses with R software

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Learn Bayesian computational analyses with R software

Geoffrey Hubona-2

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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