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Decisions under model uncertainty

This week, we will look at Bayesian linear regressions and model averaging, which allows you to make inferences and predictions using several models. By the end of this week, you will be able to implement Bayesian model averaging, interpret Bayesian multiple linear regression and understand its relationship to the frequentist linear regression approach.

杜克大学
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課程 1(共 5 門,Statistics with R 專項課程

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