A fiducial approach is developed for semiparametric Cox models that performs well when the MLE fails.
(2022), Finite-and large-sample inference for model and coefficients in high-dimensional linear regression with repro samples, arXiv preprint arXiv:2209.09299
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Introduces DP-BIC for sparsity selection, DP-debiased inference, and DP-FDR control in high-dimensional linear regression.
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Semiparametric fiducial inference for Cox models
A fiducial approach is developed for semiparametric Cox models that performs well when the MLE fails.
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Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
Introduces DP-BIC for sparsity selection, DP-debiased inference, and DP-FDR control in high-dimensional linear regression.