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Causality on longitudinal data: Stable specification search in constrained structural equation modeling

A typical problem in causal modeling is the instability of model structure learning, i.e., small changes in finite data can result in completely different optimal models. The present work introduces a novel causal modeling algorithm for longitudinal data, that is robust for finite samples based on r...

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Detalles Bibliográficos
Autores principales:	Rahmadi, Ridho, Groot, Perry, van Rijn, Marieke HC, van den Brand, Jan AJG, Heins, Marianne, Knoop, Hans, Heskes, Tom
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2017
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249641/ https://www.ncbi.nlm.nih.gov/pubmed/28657454 http://dx.doi.org/10.1177/0962280217713347

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