Organization and Management Theory OMT

  • 1.  Learn Bayesian computational analyses using R software

    Posted 11-04-2014 09:14

    Early registration extended through this Friday, Nov 7 at midnight due to registration system problems on Friday, October 31.

    Visit http://tinyurl.com/mybayesian

    Geoff Hubona



  • 2.  Learn Bayesian Computational Analyses using R software

    Posted 01-07-2015 13:26

    Live, online workshop classes begin January 22 in the AM and PM.

    Visit:  http://tinyurl.com/mybayesian

    Live, online, interactive 8-session course begins January 22 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