Random forest analysis and lasso regression outperform traditional methods in identifying missing data auxiliary variables when the MAR mechanism is nonlinear (p.s. Stop using Little’s MCAR test)
Timothy Hayes, Amanda N. Baraldi, Stefany Coxe
Topics & Concepts
Lasso (programming language)Random forestRegressionStatisticsComputer scienceNonlinear regressionRegression analysisTest (biology)Nonlinear systemMechanism (biology)Missing dataMathematicsArtificial intelligenceEconometricsData miningMachine learningQuantum mechanicsPaleontologyPhilosophyPhysicsBiologyWorld Wide WebEpistemologyStatistical Methods and InferenceStatistical Methods and Bayesian InferenceFace and Expression Recognition