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- A Central Limit Theorem for Intrinsic Fréchet Means on Real Grassmannians
- The price of a weak shadow variable: inference under nonignorable missingness as relevance vanishes
- Proper scoring rules for survival times
- Efficient spectral unmixing using endmember variability
- Equivalence testing and run-count design for stochastic machine-learning experiments
- No-Regret Language Generation
- Token-Level Attribution of Multi-Mode LLM Watermarks: Optimal Rule and Belief Weighting
- Boundary Detection for High-Dimensional Point Clouds
- A Bayesian model averaging approach for estimating longitudinal treatment effects
- Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
- Causal Discovery beyond Conditional Independence: Identifiability, Algorithms, and Statistical Inference for Directed Acyclic and Cyclic Graphs
- Adaptive conformal prediction on the Grassmannian
- Scaling Spatially Varying Distributed Lag Nonlinear Models for Nationwide Small-Area Data: A Divide-and-Conquer Approach
- Closely spaced change-point detection with an application to geopolitical shocks in oil and gas markets
- Minimax-optimal Scaling Laws in Ridge Regression via Transfer Learning
- The Loss or the Architecture? What Matters in Survival Analysis with Competing Risks
- Online Conditional Vine Copulas: Forecasting Electricity Demand
- Distinguishability and Recovery for a Doubly Sparse Spiked Wigner Model
- Conformal Policy Selection: When to Deploy AI Decisions for Targeted Intervention
- Oh doughnuts, it's the variance! A visual metaphor for the variance, standard deviation, and related quantities
- Sparsity-Corrected Tensor Clustering for Multi-Layer Networks
- Joint Estimation and Feature Selection in Overspecified Finite Mixture of Regressions
- Optimal subsampling approach for Cox models under large-scale length-biased right-censored data
- Unit-level aggregation breaks coverage in causal foundation models
- Time-partitioning Gaussian Process Mixture Model