Quantile regression for longitudinal data
Copyright policy )Quantile regression for longitudinal data
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- University of Illinois Urbana-Champaign United States
- University of Illinois at Urbana Champaign United States
Statistics and Probability, Penalty methods, Numerical Analysis, Ridge regression; shrinkage estimators (Lasso), Linear regression; mixed models, Nonparametric robustness, Asymptotic distribution theory in statistics, Analysis of variance and covariance (ANOVA), Random effects, Robust estimation, L-statistics, Hierarchical models, Quantile regression, Nonparametric regression and quantile regression, Statistics, Probability and Uncertainty, Shrinkage
Statistics and Probability, Penalty methods, Numerical Analysis, Ridge regression; shrinkage estimators (Lasso), Linear regression; mixed models, Nonparametric robustness, Asymptotic distribution theory in statistics, Analysis of variance and covariance (ANOVA), Random effects, Robust estimation, L-statistics, Hierarchical models, Quantile regression, Nonparametric regression and quantile regression, Statistics, Probability and Uncertainty, Shrinkage
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