Bayesian inference — a prior is an assumption you have to write down
Bayesian methods turn belief-plus-evidence into a posterior distribution; their honesty is that the prior is explicit, and their trap is that a confident prior can survive weak data.
Not yet scoped.
Why
The PoC would show the same likelihood yielding different conclusions under a flat versus an opinionated prior — making the modeler's assumption visible instead of hiding it in a point estimate.
How it works
Not yet built.
Where it lands in Jayverse
Number: state the prior explicitly for any probability estimate Number publishes. Show how the conclusion shifts under a flat versus an opinionated prior, rather than hiding the assumption inside a single point estimate.
Verex: log the prior alongside the posterior when a market-maker's pricing model uses Bayesian updating. That makes a confident prior surviving weak data visible in review, not just baked silently into the quoted price.
Key expressions
Words and phrases from this page worth keeping, with the Korean meaning and the sentence they come from.
Expression
뜻 · 쓰이는 자리
posterior distribution
사후분포 · 사전 믿음과 관측 데이터를 결합해 얻은 갱신된 확률분포 · "belief-plus-evidence into a posterior distribution"
survive weak data
빈약한 데이터에도 살아남다 · 강한 사전 믿음이 약한 증거로는 잘 바뀌지 않는다는 뜻 · "a confident prior can survive weak data"
point estimate
점추정치 · 불확실성을 감춘 채 하나의 숫자로만 제시된 값 · "instead of hiding it in a point estimate"
flat prior
무정보(균등) 사전분포 · 특별한 편향 없이 모든 가능성을 동등하게 두는 사전분포 · "under a flat versus an opinionated prior"
opinionated prior
(강한 주장이 담긴) 편향된 사전분포 · 분석자의 믿음이 강하게 반영된 사전분포 · "versus an opinionated prior"