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Bayesian posterior density and normalization
Tutor me on https://mlprep.iwase.dev/item/mit-18-05-s2022-exam2-ii2/. This is a practice item. If window.mlPrepAgent is available, read attempts for item mit-18-05-s2022-exam2-ii2 before tutoring. Inspect my attempt, keep the item ID, and do not reveal the full answer first. After a real attempt, append its record with recorded_by agent, include agent_session_id when available, and read it back.Tests likelihood construction, prior multiplication, and posterior normalization in a finite-outcome model.
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