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Basis pursuit (BP), basis pursuit deNoising (BPDN), and least absolute shrinkage and selection operator (LASSO) are popular methods for identifying important predictors in the high-dimensional linear regression model (Formula presented.). By definition, when (Formula presented.), BP uniquely recovers (Formula presented.) when (Formula presented.) and (Formula presented.) implies (Formula presented
