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1,205 records
- Simulation and Analysis of Multifractional Stochastic Processes with R Package Rmfrac
- Random Coordinate Descent on the Wasserstein Space of Probability Measures
- Learning interacting particle systems from unlabeled data
- Denoising distances beyond the volumetric barrier
- Scenario theory for multi-criteria data-driven decision making
- Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules
- Debiased Estimators in High-Dimensional Regression: A Review and Replication of Javanmard and Montanari (2014)
- Forecast collapse of transformer-based models under squared loss in financial time series
- LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics
- A Unified Framework for Nonlinear Mediation Analysis of Random Objects
- Extension of coupling via the Projection of Optimal Transport
- Fast localization of anomalous patches in spatial data under dependence
- Induced replication and the assessment of models
- Persistence diagrams of random matrices via Morse theory: universality and a new spectral diagnostic
- Robust Estimation in Step-Stress Experiments under Weibull Lifetime Distributions
- Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression
- Complete Causal Identification from Ancestral Graphs under Selection Bias
- Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
- The exact amount of t-ness that the normal model can tolerate
- Biased Mean Quadrangle and Applications
- Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
- Static and Dynamic Approaches to Computing Barycenters of Probability Measures on Graphs
- Boosting multi-view association testing via devariation
- Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
- Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
- Adaptive Subspace Modeling With Functional Tucker Decomposition
- Beyond identifiability: Learning causal representations with few environments and finite samples
- Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
- Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry
- Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
- Tackling the 6/49 Lottery and Debunking Common Myths with Probabilistic Methods and Combinatorial Designs
- XT-REM: A Two-Component Model for Meta-Analysis of Extreme Event Proportions
- Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
- E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
- Improving online FDR procedures via online analogs of e-closure and compound e-values
- Interpretable Causal Graphical Models for Equilibrium Systems with Confounding
- High-Resolution Tensor-Network Fourier Methods for Exponentially Compressed Non-Gaussian Aggregate Distributions
- Kinetic Langevin Splitting Schemes for Constrained Sampling
- Dynamical behaviors of a stochastic SIS epidemic model with mean-reverting inhomogeneous geometric brownian motion
- Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
- Cost-Aware Optimized Front-Door Experimental Design
- Detecting change regions on spheres
- Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
- SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
- Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate
- Stochastic approximation in non-markovian environments revisited
- Accelerate Vector Diffusion Maps by Landmarks
- Tiny but uniform improvements of adaptive BH procedures via compound e-values
- Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics
- Continuity of the Solution of a Non-Parametric Bayesian Statistical Calibration Procedure