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Effect-Size Estimation Using Semiparametric Hierarchical Mixture Models in Disease-Association Studies with Neuroimaging Data.
Ryo Emoto
Atsushi Kawaguchi
Kunihiko Takahashi
Shigeyuki Matsui
Published in:
Comput. Math. Methods Medicine (2020)
Keyphrases
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mixture model
data sets
high dimensional data
data analysis
gaussian mixture model
machine learning
training data
data points
missing data
density estimation
semi parametric
data mining
reinforcement learning
unsupervised learning
highly correlated
single nucleotide polymorphisms