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1,205 records
- Ordinal Patterns Based Testing of Spatial Independence in Irregular Spatial Structures
- Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
- Weak-Form Recovery of Stochastic Generators
- Stability of Sequential and Parallel Coordinate Ascent Variational Inference
- Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation
- Hard labels sampled from sparse targets mislead rotation invariant algorithms
- Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
- Posterior inference via Hill's prediction model
- Measure flow path recovery in Bayes Hilbert spaces
- Operator Learning for Smoothing and Forecasting
- Goal-oriented learning of stochastic differential equations using error bounds on path-space observables
- Precise Performance of Linear Denoisers in the Proportional Regime
- A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
- Kernel Single-Index Bandits: Estimation, Inference, and Learning
- Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
- Regression Adjustments for Double Randomization in Two-Sided Marketplaces
- Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
- Mirror Descent on Riemannian Manifolds
- Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
- Multi-Armed Sequential Hypothesis Testing by Betting
- On min-Storey estimators for multiple testing and conformal novelty detection
- ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit
- Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
- Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
- Self-Regularized Learning Methods
- Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
- Spatio-temporal probabilistic forecast using MMAF-guided learning
- Identifying Topological Differences in Two Populations of Random Geometric Objects
- Bayesian Inference in Epidemic Modelling: A Beginner's Guide
- Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
- On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
- Convergence of Two Time-Scale Stochastic Approximation: A Martingale Approach
- Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
- Power-Law Spectrum of the Random Feature Model
- Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
- Spatially Varying Coefficient Mallows Model Averaging
- Maximin Robust Bayesian Experimental Design
- Edgewise Envelopes Between Balanced Forman and Ollivier-Ricci Curvature
- Robust Sequential Tracking via Bounded Information Geometry and Non-Parametric Field Actions
- Measuring Extreme Tail Association
- The Continuous Rank Probability Score of a Generalized Beta-Prime Distribution and Some Special Cases
- Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
- On the Unit Teissier Distribution: Properties, Estimation Procedures and Applications
- Regenerative Rejection Sampling
- Sampling through iterated approximation: Gradient-free and multi-fidelity Bayesian inference via transport
- Inference for function-on-function regression: central limit theorem and residual bootstrap
- Combining e-values using demi-supermartingales
- Surrogate-Assisted Estimation of Exposure-Time Effects in Stepped-Wedge Trials with Administratively Censored Outcomes
- A Python implementation of some geometric tools on Kendall 3D shape space for practical applications
- Partition-Based Functional Ridge Regression for High-Dimensional Data