Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications
نویسندگان
چکیده
منابع مشابه
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications
We propose a generalized reduced rank latent factor regression model (GRRLF) for the analysis of tensor field responses and high dimensional covariates. The model is motivated by the need from imaging-genetic studies to identify genetic variants that are associated with brain imaging phenotypes, often in the form of high dimensional tensor fields. GRRLF identifies from the structure in the data...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2017
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2016.08.027