Walk-Forward Lag Selection as an Anti-P-Hacking Design for Observational Revenue Models: The LLMin8 MDC Implementation

Fuente: Zenodo

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Bibliographic Details
Main Author:	LLMin8 Labs
Format:	Recurso digital
Language:	English
Published:	Zenodo 2026
Subjects:	Generative Engine Optimisation LLmin8 Lag Selection Anti-p-hacking walk forward validation causal identification observational time. LLM Revenue Attribution researcher degrees of freedom cross-validation MAE GEO AI visibility attribution B2B SaaS Revenue Attribution
Online Access:	Acceder al recurso
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