Economics need to change - now more than ever! With Exploring Economics, we strengthen alternative economic approaches and counter mainstream economics with a critical and pluralistic vision of economic education. We also provide background analyses on current economic debates to strengthen a critical economic discourse.
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We are a registered non-profit organization | Bank account: Netzwerk Plurale Ökonomik e.V., IBAN: DE91 4306 0967 6037 9737 00, SWIFT-BIC: GENODEM1GLS | Imprint
Bayesian Statistics
| University: | Duke University |
|---|---|
| Platform: | Coursera |
| Recurrence: | flexible |
| Language: | English |
| Discipline: | Economics |
| Attendance: | free |
| Certificate: | 71.00 EUR |
| Workload per week: | 5.0 h |
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction.