Wiki cleanup: error-doc removal, dedup merge, link normalization
10_Wiki/Topics 대규모 정리: - 오류 캡처/미완성 stub 문서 227개 제거 - 교차폴더 중복 43클러스터 병합 (63파일 → redirect) - 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건 - 카테고리 MOC 6개 신규 생성 - Graph 섹션 미해결 related-keyword 링크 10,058건 제거 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -139,10 +139,9 @@ print(dml.effect(X), dml.effect_interval(X))
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**기본값**: statsmodels for frequentist, PyMC 5 + ArviZ for Bayesian, EconML for causal.
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## 🔗 Graph
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- 부모: [[Mathematics]] · [[Probability Theory]]
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- 변형: [[Frequentist Statistics]] · [[Bayesian Inference]] · [[Causal Inference]]
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- 응용: [[A-B Testing]] · [[Clinical Trials]] · [[Econometrics]]
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- Adjacent: [[Machine Learning]] · [[Experimental Design]] · [[Power Analysis]]
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- 부모: [[Probability Theory]]
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- 변형: [[Bayesian_Inference|Bayesian Inference]] · [[Causal Inference]]
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- Adjacent: [[Machine Learning]] · [[Power Analysis]]
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## 🤖 LLM 활용
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**언제**: pipeline scaffolding, EDA narrative, model spec translation, plot 코드 생성.
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