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Estimation in high-dimensional linear models with deterministic design matrices
Identifiability projection ridge regression sparsity thresholding variable selection
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2012/6/21
Because of the advance in technologies, modern statistical studies often encounter linear models with the number of explanatory variables much larger than the sample size. Estimation and variable sele...
Rank Bounds for Design Matrices with Applications to Combinatorial Geometry and Locally Correctable Codes
Design Matrices Applications Combinatorial Geometry Locally Correctable Codes
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2010/12/10
A (q, k, t)-design matrix is an m×n matrix whose pattern of zeros/non-zeros satisfies the
following design-like condition: each row has at most q non-zeros, each column has at least
k non-zeros and ...