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- StochIKM: Automated High-Fidelity Reconstruction of Individual Patient Data from Published Kaplan-Meier Curves
- Strong Simultaneous Inference for Restricted Mean Survival Time Processes in Multi-Arm Trials under Covariate-Adaptive Randomization
- Exact computation of the network modularity with branch-and-bound
- Two-Point Dependent Wild Bootstrap for Weakly Dependent Estimating Equations
- Bayesian Graphical Models under Positivity Constraints: A Scalable Generalized Likelihood Approach
- Manifold Sampling via Entropy Maximization
- Behavioral Mapping of Hierarchical Dynamical Models Accelerates Bayesian Parameter Inference
- Phase Transition from Random Features to Fully Trainable Networks
- Is Spectral Self-Supervised Learning a Minimax Optimal Method of Density Ratio Estimation?
- SympFormer: Inertial Attention Blocks from Damped Hamiltonian Dynamics on Spaces of Probability Measures
- Maximum Likelihood Estimation and Likelihood Ratio Tests for the Power Spherical Distribution
- Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis
- Gradient Discrete Schrodinger Bridge Matching for Peptide Generation
- Deep Learning for Random Objects in Metric Spaces: Beyond Manifold Assumptions
- Functional Inference for the Mean Curve of Intraday Spot Correlation
- Sequential Monte Carlo Sampling of Feasible Regions Represented by R-Functions
- Finite-Query Coherent Projection of Black-Box Conditional Predictions
- Couplings with prescribed maxima: A short proof of the quasi-copula characterization
- Sharp convergence rate of the estimation error of LASSO via the Feature Space Decomposition method
- Exact Sign Recovery for PCA Connectivity Analysis in Mixture Models
- Can We Trust Evaluations of AI Weather Forecasts for Extremes? How Evaluation Protocols Shape Model Rankings
- An E-value Reanalysis of DESI's Dynamical Dark Energy Signal
- Evaluating Neural Probabilistic Forecasts of Sparse Earthquake Counts: What Survives a Careful Evaluation
- Optimizing Open-Ended Interview Assessment Using Response-Based Semantic Indices
- Transparency Is Necessary but Not Sufficient for Trust: Information Leakage and Procedural Overfitting in Supervised Machine Learning for Psychology