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stat.ME2026
Post-selection inference in generalized linear models via parametric programming
Qinyan Shen, Karl Gregory, Xianzheng Huang
We propose a unified framework to draw inferences for regression coefficients in a generalized linear model (GLM) following Lasso-based variable selection. We adapt to non-Gaussian…
stat.ME2025
Post-selection Inference in Regression Models for Group Testing Data
Qinyan Shen, Karl Gregory, Xianzheng Huang
We develop methodology for valid inference after variable selection in logistic regression when the responses are partially observed, that is, when one observes a set of error-pron…