Regularized regression
14 methods in this family.
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Book ChapterA book chapter is an original scholarly contribution comprising a single chapter within an edited academic volume (book). Unlike journal articles (independent publications in a perCambridge Depersonalisation ScaleThe CDS is a 29-item self-report measure of depersonalisation and derealisation experiences, developed by Sierra and Berrios in 2000. It is the most widely used instrument for asseConference Paper and ProceedingsA conference paper is original research presented at an academic conference, typically via oral presentation or poster. Conference papers are published in proceedings (collection oDoctrinal Legal ResearchDoctrinal legal research is the foundational methodology of legal scholarship. It systematically identifies, reads, and analyses authoritative legal sources — statutes, case law, cDouble Machine LearningDouble/Debiased Machine Learning (DML), introduced by Chernozhukov et al. (2018), is a semiparametric framework for estimating causal or structural parameters in the presence of hiElastic NetElastic Net is a regularized linear regression method introduced by Zou and Hastie in 2005 that blends the LASSO (L1) and Ridge (L2) penalties, so it performs variable selection an
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Book ChapterCambridge Depersonalisation ScaleConference Paper and ProceedingsDoctrinal Legal ResearchDouble Machine LearningElastic NetElastic Net RegressionLasso RegressionRegularized LightGBMRegularized linear regressionRegularized Logistic RegressionRegularized Stacking EnsembleRidge RegressionRobust Ridge regression