62g05

Documents about 62g05

• Granulometric Smoothing on Manifolds#1201835arXiv (All)
• The Unseen Species Problem Revisited#987586arXiv (All)
• The Dual-Population Benchmark Model#616408arXiv (OAI Expanded)
• The Dual-Population Benchmark Model#616908arXiv (All)
• Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift#925762arXiv (All)
• Projection depth for functional data: Theoretical properties#1386971arXiv (All)
• Equivariance, Curvature and Symmetry in Functional Covariance Estimation#921175arXiv (OAI Expanded)
• Equivariance, Curvature and Symmetry in Functional Covariance Estimation#925411arXiv (All)
• Small area learning#1327543arXiv (All)
• A theory of stratification learning#1458143arXiv (All)
• Functional-Specific Information Borrowing under Limited Overlap#1535075arXiv (All)
• Joint Estimation of Sparse Multilayer Networks via Graph Limits#609692arXiv (All)
• A non-parametric estimator for excess recurrent events#1062225arXiv (All)
• Bayesian nonparametric mixtures of asymmetric Archimedean copulas#1412231arXiv (All)
• Exact Covariance Structure and Efficient Computation for L-Comoments#1412353arXiv (All)
• The Critical Renyi Order for Sharp Minimax Channel Design#1456187arXiv (All)
• Statistical Inference via T-Posterior Randomised Estimators#661374arXiv (OAI Expanded)
• Statistical Inference via T-Posterior Randomised Estimators#662424arXiv (All)
• Nonparametric Inference Based on Expected Order Statistics#1035504arXiv (All)
• Upgrading survival models with CARE#1063763arXiv (All)
• Difference-based variance estimators with repeated measurements#1129006arXiv (All)
• Fréchet Regression for Random Objects with Euclidean Predictors#1130418arXiv (All)
• CovEsts: Nonparametric Autocovariance Estimation and Analysis#1132355arXiv (All)
• Optimal Estimation of Large-Dimensional Nonlinear Factor Models#1143559arXiv (All)
• Nonparametric covariance estimation with bias correction for spatial lattice processes#1249140arXiv (All)
• Graphon Hawkes Processes: Sparse Estimation and Network Recovery#1341566arXiv (All)
• Faithful Federated Tabular Data Synthesis#1455884arXiv (All)
• Expected shortfall estimation and capital coverage under overlapping scenarios#1534793arXiv (All)
• Efficient and Globally Robust Causal Excursion Effect Estimation#1534860arXiv (All)
• Estimating systematic errors in Bayesian inversion using transport maps#799886arXiv (All)
• Distribution-Free Changepoint Inference for Rainfall Patterns#1071370arXiv (OAI Expanded)
• Measuring the roughness of a signal#1201470arXiv (All)
• Concentration inequalities for leave-one-out cross validation#1328233arXiv (All)
• Identification of Latent Group Effects under Conditional Calibration#1422837arXiv (All)
• Nonlinear Sufficient Dimension Reduction for Causal Inference with Continuous Treatments#1490817arXiv (All)
• nethist: An R package for Nonparametric Graphon Estimation via Network Histograms#974614arXiv (All)
• Risk comparison theorems and application to deep learning of diffusion coefficients#1110369arXiv (OAI Expanded)
• Functional Principal Component Analysis for Manifold-Indexed Data#1343629arXiv (All)
• A New Perspective on Cumulative Residual Rényi Entropy#1354585arXiv (All)
• Location and scatter halfspace median under α-symmetric distributions#1386966arXiv (All)
• Vertex misalignment and changepoint localization in network time series#1412805arXiv (All)
• Forecasting implied volatility surface with generative diffusion models#1447040arXiv (All)
• Nonparametric inference for density-dependent McKean--Vlasov diffusions#821136arXiv (All)
• Reliability inference for semi-Markov models based on multiple trajectories#1013267arXiv (All)
• Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space#1013388arXiv (All)
• Statistical Properties of Deep Neural Networks with Dependent Data#1063726arXiv (All)
• Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting#1142556arXiv (All)
• Minimax Operator Learning for Holomorphic Maps between Hilbert Spaces#1216670arXiv (All)
• Neural Estimation of Summary Statistics for Simulation-Based Inference with Non-Asymptotic Guarantees#1297383arXiv (All)
• Leave-One-Out Neighborhood Smoothing for Graphons: Berry--Esseen Bounds and Edge-Wise Confidence Intervals#1491467arXiv (All)