Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics

The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and relies mostly on unsupervised machine learning (ML...

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Detalles Bibliográficos
Autores principales: Marmolejo‐Ramos, Fernando, Tejo, Mauricio, Brabec, Marek, Kuzilek, Jakub, Joksimovic, Srecko, Kovanovic, Vitomir, González, Jorge, Kneib, Thomas, Bühlmann, Peter, Kook, Lucas, Briseño‐Sánchez, Guillermo, Ospina, Raydonal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Overviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369920/
https://www.ncbi.nlm.nih.gov/pubmed/37502671
http://dx.doi.org/10.1002/widm.1479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369920/
https://www.ncbi.nlm.nih.gov/pubmed/37502671
http://dx.doi.org/10.1002/widm.1479

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