1,205 records
- 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
- 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