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Kernel Embeddings of Longitudinal Data
2016Longitudinal data is the repeated observations of individuals through time. They often exhibit rich statistical qualities, such as skew or multimodality, that are difficult to capture using traditional parametric methods. To tackle this, we build a non-parametric Markov transition model for longitudinal data. Our approach uses kernel mean embeddings to
Darren Shen, Fabio Ramos 0001
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, 2008 A review on longitudinal data analysis with random forest
Briefings in Bioinformatics, 2023Jianchang Hu, Silke Szymczak
exaly