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- Exchangeable Testing Against an Unknown Benchmark
- SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass
- Is the arXiv Apocalypse upon us? A break in preprint growth coincident with agentic AI
- Distributional Counterfactual Dependence in the Special Sciences
- MASEMiner – AI-Assisted Data Extraction for Meta-Analytic Structural Equation Modeling
- The Quantitative Psychologist Is Dead, Long Live the Quantitative Psychologist
- p ‐Values Are Not Evidence: Navigating the Gap Across Modes of Inference
- CART Leaf Summaries via Bootstrap Bias Correction
- Shape-Preserving Treatment Effects for Functional Outcomes
- Sequential versus fully conditional specification for tree-based synthesis of health data
- On the Consistency of Spectral Clustering under Generalized Gaussian Mixture Models
- The Computational Assessment Stack: An Architecture for AI-Native Measurement
- Approximate Universal Prediction under Interaction
- Hessian-Similar Optimization with Capped Participation: Lower Bounds and Virtual Masters
- AI-assisted design and analysis of experiments with unstructured treatments
- Estimating Stability of Individual-Specific Predictions from AI-based prediction models using Bootstrap and Cross-validation Resampling
- How Geometry Shapes Generative Model Evaluation on Riemannian Manifolds
- Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy
- SoftBART-CORM Models for Density Regression
- Allocation Before the Clock: Graph, Set and Game Theory of Professional League of Legends Objective Setups
- From Average Effects to Proportions Benefiting: A Tutorial on ETZ-Powered Counterfactual Individual Benefit Analysis
- Causal Inference in Metric Spaces via Distance Profiles
- Compiling and forecasting implied volatility surfaces via survey sampling, tempered inverse-probability sequence learning, and causal activity clocks
- Nonparametric shrinkage estimation of high-dimensional variance component matrices
- Exhaustive adjustment-set selection and causal effects for distribution-valued outcomes, with inference under latent Gaussian spatio-temporal dependence