Testing hypotheses via orthogonalization

arXiv:2606.29732 · stat.ME, math.ST, stat.ML · Submitted 2026-06-29 · Read on arXiv

Ameer Dharamshi, Runjia Zou, Daniela Witten

stat.ME, math.ST, stat.ML

Submitted: 2026-06-29

Code: https://github.com/AmeerD/Orthogonalization

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Post-Selection — 24× in this paper · explained in 3 episodes
• Clustering — 18× in this paper · explained in 2 episodes
• Degeneracy — 4× in this paper · explained in 4 episodes
• Inflation — 3× in this paper · explained in 2 episodes
• K-means Clustering — 3× in this paper · explained in 3 episodes
• Conditional Independence — 2× in this paper · explained in 2 episodes
• Asymptotic Normality — 1× in this paper · explained in 2 episodes
• Fisher Information — 1× in this paper · explained in 4 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Influence Functions — 1× in this paper · explained in 3 episodes
• Lasso — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Unsupervised Learning — 1× in this paper · explained in 2 episodes

Sources

• Optimal Inference After Model Selection
• Distribution-free two-sample testing with blurred total variation distance
• Imputation-Powered Inference

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