Hybrid statistical and machine learning modeling of cognitive neuroscience data

DOI10.1080/02664763.2023.2176834MaRDI QIDQ6571996

Fulya Gokalp Yavuz, Author name not available (Why is that?)

Publication date: 12 July 2024

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• RE-EM trees: a data mining approach for longitudinal and clustered data
• Random-Effects Models for Longitudinal Data
• Unbiased regression trees for longitudinal and clustered data
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• partykit: a modular toolkit for recursive partytioning in \texttt{R}
• Mixed-effect models for longitudinal responses with different types of dropout: an application to the Leiden 85-plus study
• Mixed-effects random forest for clustered data
• Advanced Lectures on Machine Learning
• Prediction, Estimation, and Attribution
• Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia

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