Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 45, No. 1 (1996), pp. 111-124 (14 pages) Consider the multiple-regression framework where the goal is `black box' prediction ...
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 ...
The generalized linear model (Nelder & Wedderburn, 1972) has become an elegant and practical option to classical least-squares linear model building. We consider the specific problem of generalized ...
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