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1,205 records
- Ensemble Controlled-Flow Filtering for Implicit Data Assimilation
- Anchored Geodesic Analysis for Multivariate Extremes
- funFMC: Overlapping Clustering for Functional Data
- MCMC Methods for Parameter Inference in Structurally Nonidentifiable Models
- Towards a Geometric Characterization of Multiverse Analysis
- Learning the Graphical Nature of Symmetries
- Extracting Bayesian Evidence from Frequentist p-Values
- Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width
- How useful is a wrong model? Information-sharing for inference under mean misspecification in linear models
- Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection
- Deep Gaussian Processes on Directed Acyclic Graphs
- Geometric mean-based pairwise comparison method with the reference values -- statistical approach
- Bias-Corrected Multiplier Bootstrap Inference for Spectral Edges of Large Covariance Matrices
- Testing Covariance Separability in High Dimensions
- High-Dimensional Procrustes Matching via Tree Counts
- Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
- Finding a stationary point of a stochastic convex problem
- Statistical inverse learning and $\ell^1$-regularization
- Size independence of consistency index for pairwise comparison matrices in analytic hierarchy process
- Expressivity and Statistical Trade-offs in Diffusion Policy Learning
- Separation Capacity of Scattering Networks on Low-Dimensional Datasets
- A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems
- Error Propagation in Spectral Functionals of Shrinkage Covariance Estimators: Perturbation Bounds and Calibrated Inference
- Fast determinantal sampling on general spaces and diffusion geometry
- EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins
- Conditional Mean Independence, Global Sensitivity Analysis, and Variable Screening Using nearest neighbor Graphs
- Theoretical Guarantees for SMC-Guided Diffusion Sampling
- Statistical inference based on band-limited kernels: Rational-infinitely divisible distributions and beyond
- Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity
- High-Dimensional Variance Estimation for the Generalized Regression Estimator
- Sign Hacking with Auxiliary Variable Exploration in the Age of Big Data
- Inferring Cooperativity From Pooled Measurements
- Outcome-adapted Automatic Debiased Machine Learning
- Lancaster copulas
- Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction
- Cross-Audit Projection for Model Risk Prediction
- Merging of Bayes and quasi-Bayes empirical Bayes procedures for Poisson compound decisions
- Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People
- Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms
- From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators
- Distributed Prediction under Heterogeneity with Unidentifiable Parameter
- Optimal scaling of MCMC algorithms: the Hamiltonian approach
- Function-Counting Theory for Low-Dimensional Data Structures
- Characterizing and Identifying Separable Graphical Models
- Simultaneous Inference for Partially Observed Functional Time Series
- Functional Principal Component Analysis for Manifold-Indexed Data
- Payment Process Estimation in Aggregated Insurance Models
- Causal Inference for All: Marginal Estimands for Outcomes Truncated by Death
- Waiting time analysis in a finite-capacity multi-server systems with dynamic priorities, dynamically evolving customer types, and abandonment
- Testing hypotheses via orthogonalization