A communication-efficient score-type test for high-dimensional linear hypotheses on non-shared data provably matches the limiting power of the pooled-data score test under regularity conditions.
For hypotheses where the DC test yields significantp-values (i.e., below 0.05), the CST show even lowerp-values
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data
A communication-efficient score-type test for high-dimensional linear hypotheses on non-shared data provably matches the limiting power of the pooled-data score test under regularity conditions.