Theoretical / proof-based
Bayesian statistics · Undergraduate · Statistics
Topics
Decision and estimation theory
- Bayes estimators and admissibility
- Loss functions and posterior risk
- Minimax and Bayes connections
- Jeffreys priors and reference priors
- Bernstein–von Mises theorem (statement)
- Proofs for conjugate posterior updates
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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