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[2606.02625] DXA-Derived Skeletal Phenotypes and Hip Fracture Risk: A Backdoor-Adjusted Causal Analysis
Abstract page for arXiv paper 2606.02625: DXA-Derived Skeletal Phenotypes and Hip Fracture Risk: A Backdoor-Adjusted Causal Analysis
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[2606.02740] ScoreStop: Gradient-based early stopping using functional score tests
Abstract page for arXiv paper 2606.02740: ScoreStop: Gradient-based early stopping using functional score tests
[2606.02909] Scalable Derivative Gaussian Processes via Exact Gradient Reduction
Abstract page for arXiv paper 2606.02909: Scalable Derivative Gaussian Processes via Exact Gradient Reduction
[2606.03018] A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors
Abstract page for arXiv paper 2606.03018: A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors
[2606.03600] Set-Preserving Calibration from Conformal P-Values to E-Values
Abstract page for arXiv paper 2606.03600: Set-Preserving Calibration from Conformal P-Values to E-Values
[2506.05308] Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
Abstract page for arXiv paper 2506.05308: Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
[2307.10067] The Canonical Decomposition of Factor Models: Weak Factors are Everywhere
Abstract page for arXiv paper 2307.10067: The Canonical Decomposition of Factor Models: Weak Factors are Everywhere
[2505.07068] A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
Abstract page for arXiv paper 2505.07068: A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
[2606.02876] RRISE: Robust Radius Inference via a Surrogate Estimator
Abstract page for arXiv paper 2606.02876: RRISE: Robust Radius Inference via a Surrogate Estimator
AI may already be adding billions to the economy—without showing up in the data
A new policy brief argues AI may already be adding hundreds of billions to the global economy—but official statistics aren’t built to see it.
[2606.01706] Higher-Order Debiased Estimators for General Treatment Models
Abstract page for arXiv paper 2606.01706: Higher-Order Debiased Estimators for General Treatment Models
[2606.02200] Random Set Quantile Estimation of Partially Identified Discrete Response Models
Abstract page for arXiv paper 2606.02200: Random Set Quantile Estimation of Partially Identified Discrete Response Models
[2308.01596] Individual Shrinkage for Random Effects
Abstract page for arXiv paper 2308.01596: Individual Shrinkage for Random Effects
[2406.13122] Testing for Underpowered Literatures
Abstract page for arXiv paper 2406.13122: Testing for Underpowered Literatures
[2606.01650] Post Selection Estimation of Sharpe Ratios
Abstract page for arXiv paper 2606.01650: Post Selection Estimation of Sharpe Ratios
[2606.01979] A Simple Hierarchical Causality Primer
Abstract page for arXiv paper 2606.01979: A Simple Hierarchical Causality Primer
[2606.00661] On Median of Incomplete U-Statistics
Abstract page for arXiv paper 2606.00661: On Median of Incomplete U-Statistics
[2606.00684] Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection
Abstract page for arXiv paper 2606.00684: Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection
[2606.00754] Causal Density Functions
Abstract page for arXiv paper 2606.00754: Causal Density Functions
[2606.00758] Statistical Testing on Directed Graphs by Surrogate Data Generation
Abstract page for arXiv paper 2606.00758: Statistical Testing on Directed Graphs by Surrogate Data Generation
[2606.01256] Distribution-free changepoint localization after sequential change detection
Abstract page for arXiv paper 2606.01256: Distribution-free changepoint localization after sequential change detection
[2606.02101] It does what it says on the tin: safe synthetic data from coarsened margins
Abstract page for arXiv paper 2606.02101: It does what it says on the tin: safe synthetic data from coarsened margins
[2606.02115] Error Bounds for a Diffusion Model-Based Drift Estimator
Abstract page for arXiv paper 2606.02115: Error Bounds for a Diffusion Model-Based Drift Estimator
More than 4.5 million Canadians living in poverty
At least 11 percent of all Canadians, 11.5 percent of children, and more than 25 percent of all “unattached individuals” under the age of 64 are living in p...
Astrobiology's Looming Statistical Crisis
Multi-billion dollar space telescope programs aren’t only feats of aerospace engineering. They also feature “lies, damn lies, and statistics”. Or at least...
A statistical framework for comparing epidemic forests
Author summary Identifying who infected whom is a central part of outbreak investigation. It helps trace the source of infection, uncover missing cases, identif...
Why Your Trading Strategy Needs a Statistical Edge
Many traders spend years obsessing over mindset and risk management. While these are important, they are often used as a distraction from a harsher reality:
[2605.30360] Polynomial Histograms for Memory-Efficient Representation of Long-tailed System Distributions
Abstract page for arXiv paper 2605.30360: Polynomial Histograms for Memory-Efficient Representation of Long-tailed System Distributions
[2605.30485] M-estimation with e-statistics
Abstract page for arXiv paper 2605.30485: M-estimation with e-statistics
[2605.30492] Shrinkage-Constrained Functional Calibration for Complex Computer Models
Abstract page for arXiv paper 2605.30492: Shrinkage-Constrained Functional Calibration for Complex Computer Models