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- The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
- Diversity-Aware Active Learning Builds Materials Datasets for Current and Future Objectives
- Statistical methods for analyzing change over time of continuous outcomes in observational health studies: a scoping review of suggested approaches
- Loss of power by degree of heaping in covariables.
- Exact Credibilistic Expectations of Nonmonotone Fuzzy Transformations with Applications to Higher-Order Moments
- Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts
- Morpheus-2.0: Multiscale Probabilistic Forecasting with Dual-Axis Attention
- Computational Taxonomy for visualizing and exploring systems with functional response dynamics: soybean's O2-respiration example
- Stochastic models with power-law trends: An analysis of Bitcoin price dynamics
- Censored Flow Matching for Synthetic Time-to-Event Generation
- On Reparameterizing the Score Function
- Multiple Testing Of Composite Null Hypotheses With High Dimensional Count Data: A Local False Discovery Rate Approach
- Topological Learning under Sparsity through Huberized Distance Functionals
- lepidoptera: A Domain-Agnostic Engine for Causal Simulation with Mixed Variable Types, Vine Copula Dependence, and Individual-Level Counterfactual Propagation
- Kriging Beyond Gaussianity: Fixed-Domain Asymptotic Optimality
- Graph-Regularized Synthetic Control for Stable Counterfactual Estimation under Donor Redundancy
- Geometry-Adaptive Clustering on High-Dimensional Tori
- Extrinsic MANOVA for Oriented Projective Shapes
- Causal adaptive intensity estimation for non-stationary point processes: a Kalman-kernel duality framework
- When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification
- Testing the equality of parameters in fixed and increasing dimension
- PICKLES: Covariance-Preconditioned Kinetic Langevin Ensemble Sampler
- Constructive Universal Approximation by Infinite-Dimensional Neural Networks via Gaussian-Weighted Ridgelet Transform
- Recovering Dirichlet coefficients from even samples
- Margin Certificates for Voting Classifiers under Mixing Dependence