The Annals of Mathematical Statistics, Vol. 27, No. 3 (Sep., 1956), pp. 737-748 (12 pages) The sampling variance of the least squares estimates of the components of variance in an unbalanced ...
Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate ...
PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...
This is a preview. Log in through your library . Abstract We develop new statistical theory for probabilistic principal component analysis models in high dimensions. The focus is the estimation of the ...
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