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- Learning Checklists to Reduce Lottery Effects in Scientific Peer Review
- Wavelet covariances under fixed finite observations: dilation symmetry breaking and distinct endpoint limits
- Improving ecological inference and uncertainty quantification from camera trap data through the fusion of AI confidences and manual annotations
- Simplicity Above Elegance: Another Look at the Asymptotically Correct Standardization of Snijders
- Beyond Match Results: Bayesian Mediation of Ability, Performance, and Winning in Professional Tennis
- A Bayesian hierarchical push-forward method for cluster Randomized Controlled Trial power calculations in complex humanitarian settings
- GeoMix: A Bayesian Framework for Stratigraphic and Geotechnical Inference
- Failure Is the Mother of Success: Recovering Supervision with Grounding Hindsight
- Halve-Then-Greedy: Adaptive Sampling for Posterior Success with Near-Optimal Instance Dependence
- Are continuous models better than areal models for spatial disease mapping with a large number of small areas?
- Sign Betting for Misspecified Regression: Variance Adaptivity and Optimal Approximation
- Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
- A Mixture-of-Experts Framework for Multi-Stream Quickest Change Detection
- Clinically Interpretable Biological Age Estimation Using CatBoost and SHAP with Continuous and Categorical Features from NHANES
- Calibrated Bayesian inference for overall and subgroup-specific causal effects in stepped-wedge cluster-randomized trials
- Challenges and Opportunities in Statistical Analyses and Designs for Neuroscience Clinical Trials
- A Geometric Framework for the Bayesian Estimation of Joint Environmental Extremes
- Selection-Safe Conformal Early Exit: Distribution-Free Coverage under Adaptive Depth
- The Reach of Treatment Effects: Randomization Inference for Zero-Effect Regions
- RoLaQ: Joint Rotation and Range Calibration for 2-Bit KV Caches in Multi-Head Latent Attention
- Learning Topology-Aware Representations for Mechanics-Relevant TPMS Metamaterials
- Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility
- On the Stability and Convergence of Flow Map Training
- Graph Additive Models disentangling feature, topology, and interactions
- Latent Annealed Posterior Sampling with a Variance-Preserving Bridge for Sparsely Observed Random Fields