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In statistics, debiased lasso refers to a correction to lasso estimates that removes shrinkage bias so confidence intervals and tests can be built for low-dimensional parameters in high-dimensional models. This meaning comes from Zhang (2013) in Journal of the Royal Statistical Society Series B: Statistical Methodology.[1]
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