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- UniFlow: Unified Multi-Scale Flow Matching for Time Series Generation
- Bayesian Cluster-Adjusted Standardised Mean Differences: A Simulation Study
- Where Is the Truth When AI Agents Disagree? Dependence-Aware Belief Propagation for Unsupervised Truth Discovery (Extended Version)
- Selection instability and coefficient uncertainty in Cox modelling after Lasso selection
- One-shot Distributed Learning via Weighted Averaging with Server-side Information
- Bayesian Change-Point Detection and Fault Scoring in District Heating Systems
- Directional Statistics in Signal Processing: A Geometry Driven Overview of Models, Learning, and Applications
- Conditional independence and graphical models for rankings
- A reliability data aggregation method for fusion-oriented research facilities
- Identifying the determinants of soccer coach turnover by competing risks models: a case study on Italian League Serie A
- Bandwidth rules for Dirichlet kernel density estimation on the simplex
- When Listwise Deletion Works: Causal Diagrams and Complete-Case Regression
- Analytically Calibrated Upper L-Statistics for High-Dimensional Mean Change-Point Testing
- Proper Agnostic Learning of Affine Halfspaces under Log-Concave Marginals
- Nearly Linear-Time Follow-the-Perturbed-Leader for Weakly Observable Graph Bandits
- Covariate Adjustment for Time-Restricted Marginal Win Statistics in Randomized Trials: Assumption-Lean Inference and Guaranteed Efficiency Gain
- Bezier-GP: Bezier-Surface-Based Gaussian Process for Chips-on-Wafer Warpage Modeling
- Integrating Machine Learning and Uncertainty Quantification for Real-Time Decision-Making in Digital Twins: A System-Centric Review and Perspective
- OmniST: Topology-Invariant Spatiotemporal Forecasting with Guaranteed-Coverage Uncertainty at Unseen Sensor Locations
- Aggregate Calibration Can Mask Stress-State Undercoverage: Bounded-Memory Forecast Intervals under Recurrent Financial Stress
- Deterministic Uniformization for Estimation and Latent Trajectory Inference in Interval-Censored Multistate Triansition Models
- Two-Layer Random ReLU Networks Can Separate Disjoint Classes
- Statistical Machine Learning for Medicinal Plant Leaves Classification
- Terrain-Surface-Area Cover from LiDAR: Inverse-Probability-Weighted Estimation and a Global Cramér-von Mises Lack-of-Fit Test
- Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps