Establishes asymptotic consistency of factor estimates and √T-normality in factor-augmented regressions for fixed R ≥ r using anisotropic local laws from random matrix theory.
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Journal of the Royal statistical society: series B (Methodological) , volume=
10 Pith papers cite this work. Polarity classification is still indexing.
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Item response theory applied to 17 LLMs on SciEntsBank and Beetle reveals that models with similar overall scores differ sharply in robustness to difficult responses, with errors clustering on partial-credit labels.
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
Derives simultaneous finite-sample distribution-free upper bounds on false discovery proportions for conformal p-values that hold for every possible rejection threshold.
spBART extends BART by modeling low-dimensional covariates parametrically for interpretability and high-dimensional epigenetic predictors nonparametrically, with a CV-based variable selection procedure, achieving AUC 0.96 on multiple myeloma epigenetic data.
Lamarckian inheritance improves evolutionary robotics performance in dynamic environments unless changes are conflicting and unpredictable; a change-detecting sensor restores benefits.
Domino guarantees k-bFDR control under arbitrary dependence via the closure principle, extending boundary FDR methods to general settings for both p-values and e-values.
A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.
Refined statistical detection methods applied to Gaia FPR residuals identify 343 astrometric binary asteroid candidates, with 88% fewer detections in noise-only simulations and overlaps with known binaries and prior surveys.
The weighted Holm procedure (WHP) based on ordered weighted p-values is uniformly more powerful than the weighted alternative Holm procedure (WAP) based on ordered raw p-values, with stronger optimality properties under FWER control.
citing papers explorer
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Fixed-order PCA: Theory for Overestimated Factor Models
Establishes asymptotic consistency of factor estimates and √T-normality in factor-augmented regressions for fixed R ≥ r using anisotropic local laws from random matrix theory.
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Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory
Item response theory applied to 17 LLMs on SciEntsBank and Beetle reveals that models with similar overall scores differ sharply in robustness to difficult responses, with errors clustering on partial-credit labels.
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PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
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Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference
Derives simultaneous finite-sample distribution-free upper bounds on false discovery proportions for conformal p-values that hold for every possible rejection threshold.
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Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
spBART extends BART by modeling low-dimensional covariates parametrically for interpretability and high-dimensional epigenetic predictors nonparametrically, with a CV-based variable selection procedure, achieving AUC 0.96 on multiple myeloma epigenetic data.
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Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics
Lamarckian inheritance improves evolutionary robotics performance in dynamic environments unless changes are conflicting and unpredictable; a change-detecting sensor restores benefits.
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Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
Domino guarantees k-bFDR control under arbitrary dependence via the closure principle, extending boundary FDR methods to general settings for both p-values and e-values.
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Understanding the Mechanism of Altruism in Large Language Models
A small set of sparse autoencoder features in LLMs drives shifts between generous and selfish allocations in dictator games, with causal patching and steering confirming their role and generalization to other social games.
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Follow the wobble: Statistical methods to detect astrometric binary asteroids in Gaia FPR
Refined statistical detection methods applied to Gaia FPR residuals identify 343 astrometric binary asteroid candidates, with 88% fewer detections in noise-only simulations and overlaps with known binaries and prior surveys.
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Weighted Holm Procedures: Theory, Properties, and Recommendations
The weighted Holm procedure (WHP) based on ordered weighted p-values is uniformly more powerful than the weighted alternative Holm procedure (WAP) based on ordered raw p-values, with stronger optimality properties under FWER control.