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Statistical learning with sparsity : the lasso and generalizations
by Trevor Hastie, Robert Tibshirani, Martin J. Wainwright
This text presents methods that exploit sparsity to recover underlying signals in large datasets. It covers the lasso for linear regression, generalised linear models, and sparse multivariate analysis, providing a guide to sparse statistical modelling.
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