archive
Every paper Pith has read. Search by title, abstract, or pith.
883 papers in stat.TH · page 13
-
Wasserstein image distance error grows as square root of noise
Quantifying the noise sensitivity of the Wasserstein metric for images
-
Panel mean shifts detected without bandwidth tuning
A Weighted Regression Approach to Break-Point Detection in Panel Data
-
EnKU uniquely exact for affine conditioning beyond Gaussians
Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update
-
Hybrid estimator achieves sharp rate for sparse linear functionals
Minimax and adaptive estimation of general linear functionals under sparsity
-
Adaptive 1-bit queries achieve near-optimal mean estimation
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
-
Minimax risk scales as sigma squared K when ESD is at most K
Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
-
BLASSO recovers GMMs with unknown diagonal covariances
Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization
-
Smoothed estimator hits variance lower bound for OTR mean
Optimal Inference of the Mean Outcome under Optimal Treatment Regime
-
Bivariate partial sums enable self-normalized CUSUM for local stationarity
Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series
-
Iterated I-projection solves generalized checkerboard copula problems
An iterated $I$-projection procedure for solving the generalized minimum information checkerboard copula problem
-
Resampling procedure bounds false discovery proportion at all stricter thresholds
Resampling-based multi-resolution false discovery exceedance control
-
Diffusion-based causal model preserves effects under basis expansion
Partially Functional Dynamic Backdoor Diffusion-based Causal Model
-
Sphere regression asymptotically matches white noise experiments
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
-
Delayed-state Kalman filter matches stochastic cloning without cloning
Remarks on stochastic cloning and delayed-state filtering
-
Self-normalization yields pivotal intervals for forecast errors
Pivotal inference for linear predictions in stationary processes
-
Minimax rates for private Cox regression show server phase transitions
Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards
-
Lifting sharpens bounds on stochastic suprema
Simple and Sharp Generalization Bounds via Lifting
-
Nearly closed-form CCVaR derived for d dimensions
On a multivariate extension for Copula-based Conditional Value at Risk
-
Weaker irrepresentability condition aids hub detection in networks
Identifying Network Hubs with the Partial Correlation Graphical LASSO
-
Mixtures match Sobolev rates up to logs
Approximation rates for finite mixtures of location-scale models and fast least-squares estimators
-
Fading memory holds generically without echo states
Stochastic dynamics learning with state-space systems
-
Besov variational inference matches exact rates in PDE inverse problems
Consistency of variational inference for Besov priors in non-linear inverse problems
-
Cascading exclusion estimates set sizes beyond birthday problem limits
Estimating the size of a set using cascading exclusion
-
Explicit constants make KMT inequality computable for bounded sums
Computable Bounds for Strong Approximations with Applications
-
Gaussian limits derived for SAA value functions in stochastic control
Central Limit Theorems for Sample Average Approximations in Stochastic Optimal Control
-
Exponent measures reveal causal directions in extreme events
Structural Causal Models for Extremes: an Approach Based on Exponent Measures
-
Modified test counts common trends right in nonlinear systems
Inference on Common Trends in a Cointegrated Nonlinear SVAR
-
Self-normalised martingales get dimension-free Bernstein bounds
Bernstein-type dimension-free concentration for self-normalised martingales
-
Posterior for 2D Navier-Stokes assimilation converges to Gaussian
Data assimilation with the 2D Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure
-
Streaming CCA via sliding window and PCA runs in real time
Sliding Window Informative Canonical Correlation Analysis
-
New quasi-metrics permit different costs for missed and false objects
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
-
Estimator uses covariance to sharpen signal proportion bounds
Enhancing Signal Proportion Estimation Through Leveraging Arbitrary Covariance Structures
-
Possibilistic models deliver frequentist reliability and flexible inference
Possibilistic inferential models: a review
-
Convergence rate to Boolean extreme value distribution derived
On the rate of convergence to the Boolean extreme value distribution under the von Mises condition
-
KL is the only Bregman divergence for sampling without the normalizer
A note on the unique properties of the Kullback--Leibler divergence for sampling via gradient flows
-
Gaussian references reduce entropic OT to a matrix problem
Entropic optimal transport beyond product reference couplings: the Gaussian case on Euclidean space
-
Informative priors with polynomial or exponential tails produce confidence sequences that…
Confidence sequences with informative, bounded-influence priors
-
Gibbs samplers mix under Poincaré inequality beyond log-concave targets
Mixing Time Bounds for the Gibbs Sampler under Isoperimetry
-
QMLE for discount parameter in Gibbs partitions converges to mixed normal
Asymptotic Inference for Exchangeable Gibbs Partitions
-
Instrument randomization maps to identifiable treatment effects
Causal inference via implied interventions
-
Soft-edge gap corrections are multilinear in leading derivatives
Asymptotic Expansions of Gaussian and Laguerre Ensembles at the Soft Edge III: Generating Functions
-
Separability test equals sphericity check on core matrix
Testing Separability of High-Dimensional Covariance Matrices
-
MLA-UCB cuts regret with biased ML surrogate rewards
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
-
Chatterjee's ξ and Spearman's ρ form a convex attainable region
The exact region and an inequality between Chatterjee's and Spearman's rank correlations
-
MRA reduces to deconvolution via Kotlarski's formula
Functional Multi-Reference Alignment via Deconvolution
-
Transformers reach optimal rates for functions on manifolds
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
-
Algorithm matches optimal rate for one-sided group testing
Optimal Non-Adaptive Group Testing with One-Sided Error Guarantees
-
Pairwise products give optimal uniformity test on high-dim spheres
Detecting non-uniform patterns on high-dimensional hyperspheres
-
Generalization gap bounded solely by Rényi entropy of data
Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy
-
Hypergraph spectral method recovers crossing lines at optimal thresholds
Consistent line clustering using geometric hypergraphs