Learn Bayesian Computational Analyses using R software
Geoffrey Hubona <[email protected]>
| Newsgroups | gmane.comp.hci.acm-sigchi.resources |
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| Message-ID | <CAKRFP85dM0z_S4trUfGCnwEpuHFQq=go6rANLw8tuAw+DGC-pw@mail.gmail.com> |
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
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