Statistics Papers

Probably Approximately Correct Causal Discovery. arxiv.org/abs/2507.18903

Central limit theorems for the eigenvalues of graph Laplacians on data clouds. arxiv.org/abs/2507.18803

Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization. arxiv.org/abs/2503.15704

Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. arxiv.org/abs/2503.06079

Robust Non-adaptive Group Testing under Errors in Group Membership Specifications. arxiv.org/abs/2409.05345

Beyond Internal Data: Constructing Complete Datasets for Fairness Testing. arxiv.org/abs/2507.18561

Neural Tangent Kernels and Fisher Information Matrices for Simple ReLU Networks with Random Hidden Weights. arxiv.org/abs/2507.18555

Efficient Uncertainty in LLMs through Evidential Knowledge Distillation. arxiv.org/abs/2507.18366

Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables. arxiv.org/abs/2507.18170

Large-scale entity resolution via microclustering Ewens--Pitman random partitions. arxiv.org/abs/2507.18101

CoCAI: Copula-based Conformal Anomaly Identification for Multivariate Time-Series. arxiv.org/abs/2507.17796

Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise. arxiv.org/abs/2507.18520

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts. arxiv.org/abs/2507.18464

On Reconstructing Training Data From Bayesian Posteriors and Trained Models. arxiv.org/abs/2507.18372

Learning graphons from data: Random walks, transfer operators, and spectral clustering. arxiv.org/abs/2507.18147

A Two-armed Bandit Framework for A/B Testing. arxiv.org/abs/2507.18118

Sliding Window Informative Canonical Correlation Analysis. arxiv.org/abs/2507.17921

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility. arxiv.org/abs/2507.17748

On the Interaction of Compressibility and Adversarial Robustness. arxiv.org/abs/2507.17725

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields. arxiv.org/abs/2507.17582