[AISWorld] Learn to conduct Bayesian computational analyses using R software

[Geoffrey Hubona]

Visit http://tinyurl.com/mybayesian   Early registration ends this Friday,
Oct 31 at midnight.

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;
Multiparameter 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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