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stat.ME2026
Global Inference for High Dimensional Quantile Regression with Heterogeneity
Tate Jacobson, Daeyoung Ham, Ben Sherwood
Quantile regression has received considerable attention in high dimensional methodology due to its robustness and ability to accommodate heteroskedasticity. Despite this attention,…
stat.ME2026
Large-scale linear hypothesis testing for high-dimensional online M-estimation
Daeyoung Ham, Myeonghun Yu, Tate Jacobson
With the growing prevalence of streaming data, renewable estimation has become an important tool for updating statistical analyses without retaining historical raw observations. We…