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  "Title": "Nonparametric P-Value Estimation for Predictors in Lasso",
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  "Author": "Lingfei Wang <Lingfei.Wang.github@outlook.com>",
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  "Description": "Estimate the p-values for predictors x against target\nvariable y in lasso regression, using the regularization\nstrength when each predictor enters the active set of\nregularization path for the first time as the statistic. This\nis based on the assumption that predictors (of the same\nvariance) that (first) become active earlier tend to be more\nsignificant. Three null distributions are supported: normal and\nspherical, which are computed separately for each predictor and\nanalytically under approximation, which aims at efficiency and\naccuracy for small p-values.",
  "URL": "https://github.com/lingfeiwang/lassopv",
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  "Copyright": "Copyright 2016-2019 Lingfei Wang",
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  "Date/Publication": "2022-10-04 17:39:24 UTC",
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