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1,205 records
- Memory operator ensembles indicate proximity to criticality in simulated AMOC transitions
- Diffusion Bootstrap for High-Dimensional Linear Models
- An MTP$_2$ property for conditional distributions
- Optimum Multiple Sampling Plan Based on the Process Capability Index $C_{py}$ Under Type-II Hybrid Censoring
- Learning switched non-linear dynamical systems from a single trajectory
- Monte Carlo testing: non-asymptotic guarantees without joint exchangeability
- Beyond ICA: Identifiability by Symmetry Breaking
- Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares
- Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
- Estimating dynamic models by matching random features
- Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
- A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association
- Scaling Results for Piecewise Deterministic Monte Carlo : A Survey
- The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands
- Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits
- Mens: Nonlinear shrinkage estimation in nonparanormal models for financial applications
- Statistical Inference for Rank Allocation in Low-Rank Adaptation
- Restricted nonlinear shrinkage of high-dimensional residual covariance matrices in multivariate regressions
- Local permutation tests for conditional independence: an adaptive binning perspective
- The Tractability Landscape of Sampling with Inexact Scores
- Morillas-type transformations of copulas and stable tail dependence functions
- Fundamental limits of distributed multiclass classification from simple binary decisions
- A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
- RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning
- Calibrating Semantic Uncertainty from Observable Language-Model Probabilities
- Spatial Dependence in Directed Preferential-Attachment Networks
- An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers
- PIONEER: Bayesian Joint Modelling of Mechanistic Tumour Growth and Time-to-Event Endpoints for Dynamic Prediction of Ongoing Oncology Trials
- Flexible Inference for Winners with Conditional Validity
- Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics
- Data envelopment analysis with common-denominator ratio variables: An application to education with methodological extensions
- The Resolution of Causal Heterogeneity
- Fast inversion of the generalized Fisher transformation of correlation matrices
- Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets
- Aggregation of Statistical Evidence under Exchangeability
- Dynamic models with $p$ parameters are identified by $2p+1$ random features
- Cluster-Aware Matching via Laplacian Optimal Transport
- Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection
- A Complete-Data Likelihood for Epidemic Processes on Partially Observed Dynamic Networks
- Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin
- Proactive Inpatient Bed Requests for Emergency Department Admissions
- Manipulation testing based on Benford's Law for discrete scores
- Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography
- Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
- Nonparametric Multi Change Point Detection for Markov Chains via Adaptive Clustering
- Hierarchical Bayesian inversion using the Karhunen-Loève expansion with analytical eigenpairs of the squared exponential kernel
- Symbolic Weak-form Recovery of 2-D Stochastic Generators
- ANGLE: Angular Neural Generative Learning via Engression
- Hash-augmented adaptive multilevel splitting Monte Carlo algorithm for accurate estimation of two-sample permutation test p-values
- Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo