연구 노트

Hierarchical Poisson — full PyMC NUTS posterior

상태: Shipped as a methodology surface (posterior-median P(H/D/A) gates parity with MAP; per-fixture credible intervals now publishable)백테스트 날짜: 27 May 2026핵심 요약 + 전문 · 1,696단어

핵심 요약

The shipping Hierarchical-Poisson fit (scripts/fit_hierarchical_poisson.py) is a MAP point estimate via L-BFGS-B. It is fast and is the production prediction surface, but it gives no measure of uncertainty on per-fixture P(H/D/A). The improvements-roadmap (§1.3) flagged this as the next methodology upgrade — not a Brier-chasing change (point-estimate Brier is already at the calibration plateau) but a publishable methodology one: the model now reports how confident it is in each forecast, a…

전문

Standard Pass

전체 연구 노트 읽기

Hierarchical Poisson — full PyMC NUTS posterior은(는) 1,696단어입니다. Standard Pass는 모든 연구 노트의 전문, 전체 예측, 팀별 및 선수별 평점을 잠금 해제하며, 대회 기간 동안 유효합니다.

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