forecasting · Lab
Bayesian Macro Forecasting
Introduce priors, posterior intuition, and communication of uncertainty without buzzwords.
- Duration
- 5 weeks
- Model focus
- Bayesian
- Cohort
- Evening
- Fee (informational)
- ZAR 1 450
We keep computation modest and interpretation central. You will compare prior sensitivity, critique black-box claims, and practise honest interval talk.
What is included
- Prior sensitivity lab
- Posterior intuition sketches
- Anti-buzzword glossary
- Mentor-reviewed exercises
- Optional Stan/pyMC snippets
- Ethics of presentation
- Peer review session
Outcomes
- Describe how a prior shifts an interval
- Critique an overconfident forecast slide
- Present results with limitations first
Kobus Venter
Lead contact
Forecasting coach with Bayesian applications in macro monitoring.
Questions
Math background?
Probability intuition is required; measure theory is not.
Software?
We offer lightweight paths; heavier paths are optional.
Limitation?
Not a full computational Bayes credential — introductory professional depth only.
Cohort notes
“Bayesian Macro Forecasting made me label priors on the slide footer — reviewers noticed.”
“Anti-buzzword glossary should ship as a poster.”
Money-Back Policy applies where stated at enrolment.