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

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Dettagli Bibliografici
Autore principale:	LLMin8 Labs
Natura:	Recurso digital
Lingua:	inglese
Pubblicazione:	Zenodo 2026
Soggetti:	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
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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