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Tibshirani: regression shrinkage and selection via the lasso

Contribution grade

Statistics · ALGORITHM

Reference score150,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Introduced the lasso for linear-model estimation, constraining the sum of absolute coefficient values so that some coefficients become exactly zero while retaining shrinkage stability.

Scientific scope

The record is the exact 1996 Journal of the Royal Statistical Society Series B paper. Its 1994 technical-report precursor, basis pursuit, later generalized lasso methods and subsequent theory remain separate.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact 1996 Journal of the Royal Statistical Society Series B paper. Its 1994 technical-report precursor, basis pursuit, later generalized lasso methods and subsequent theory remain separate.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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