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

Internet

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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