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  Gaussian Process Panel Modeling: Machine learning inspired analysis of longitudinal panel data

Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2020). Gaussian Process Panel Modeling: Machine learning inspired analysis of longitudinal panel data. Frontiers in Psychology, 11: 351. doi:10.3389/fpsyg.2020.00351.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-B1E2-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-EFE2-8
Genre: Journal Article

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fpsyg-11-00351.pdf (Publisher version), 2MB
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https://dx.doi.org/10.3389/fpsyg.2020.00351 (Publisher version)
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 Creators:
Karch, Julian D.1, Author           
Brandmaier, Andreas M.1, 2, Author                 
Voelkle, Manuel C.3, Author                 
Affiliations:
1Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              
2Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641              
3External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fpsyg.2020.00351
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Title: Frontiers in Psychology
Source Genre: Journal
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Pages: - Volume / Issue: 11 Sequence Number: 351 Start / End Page: - Identifier: -