Cover Image

Worst-case Nonparametric Bounds for the Student T-statistic

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Edelman, David
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comment on "Worst-case Nonparametric Bounds for the Student T-statistic", arXiv:2508.13226
by: Pinelis, Iosif
Published: (2025)

Another look at Stein's method for Studentized nonlinear statistics with an application to U-statistics
by: Leung, Dennis, et al.
Published: (2023)

Nonuniform Berry-Esseen bounds for Studentized U-statistics
by: Leung, Dennis, et al.
Published: (2023)

Nonparametric Regression in Dirichlet Spaces: A Random Obstacle Approach
by: Talwai, Prem, et al.
Published: (2024)

Asymptotic Equivalence for Nonparametric Regression
by: Grama, Ion, et al.
Published: (2024)

Nonparametric Estimation For Censored Circular Data
by: Conanec, Nicolas
Published: (2025)

Nonparametric estimation of FBSDEs with random terminal time
by: Ji, Shaolin, et al.
Published: (2024)

Nonparametric two sample test of spectral densities
by: Nadin, Ilaria, et al.
Published: (2026)

Asymptotic Equivalence for Nonparametric Generalized Linear Models
by: Grama, Ion, et al.
Published: (2024)

Bayesian Nonparametric Inference for "Species-sampling" Problems
by: Balocchi, Cecilia, et al.
Published: (2022)

Classifier-Based Nonparametric Sequential Hypothesis Testing
by: Hsu, Chia-Yu, et al.
Published: (2026)

Memorization With Neural Nets: Going Beyond the Worst Case
by: Dirksen, Sjoerd, et al.
Published: (2023)

Nonparametric Inference on Unlabeled Histograms
by: Ma, Yun, et al.
Published: (2025)

Encompassing Tests for Nonparametric Regressions
by: Lapenta, Elia, et al.
Published: (2022)

Nonparametric Two-Sample Testing by Betting
by: Shekhar, Shubhanshu, et al.
Published: (2021)

Nonparametric Bandits with Single-Index Rewards: Optimality and Adaptivity
by: Ma, Wanteng, et al.
Published: (2025)

Nonparametric Estimation in SDE Models Involving an Explanatory Process
by: Comte, Fabienne, et al.
Published: (2025)

Nonparametric optimal density estimation for censored circular data
by: Conanec, Nicolas, et al.
Published: (2025)

Nonparametric Estimation of the Transition Density Function for Diffusion Processes
by: Comte, Fabienne, et al.
Published: (2024)

Nonparametric inference for spot volatility in pure-jump semimartingales
by: Yan, Chengxin, et al.
Published: (2026)

Nonparametric Measure-Transportation-Based Methods for Directional Data
by: Hallin, Marc, et al.
Published: (2022)

Nonparametric Estimation via Partial Derivatives
by: Dai, Xiaowu
Published: (2022)

Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models
by: Lyu, Yichen, et al.
Published: (2025)

Nonparametric Exponential Family Regression Under Star-Shaped Constraints
by: Yi, Guanghong, et al.
Published: (2025)

Nonparametric Estimation from Correlated Copies of a Drifted Process
by: Marie, Nicolas
Published: (2025)

Nonparametric Drift Estimation from Diffusions with Correlated Brownian Motions
by: Comte, Fabienne, et al.
Published: (2022)

Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation
by: Giordano, Matteo
Published: (2023)

Nonparametric Estimation for I.I.D. Paths of Fractional SDE
by: Comte, Fabienne, et al.
Published: (2020)

Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood
by: Soloff, Jake A., et al.
Published: (2021)

Nonparametric Factor Analysis and Beyond
by: Zheng, Yujia, et al.
Published: (2025)

Batched Nonparametric Contextual Bandits
by: Jiang, Rong, et al.
Published: (2024)

Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)

Nonparametric, tuning-free estimation of S-shaped functions
by: Feng, Oliver Y., et al.
Published: (2021)

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
by: Rebaudo, Giovanni, et al.
Published: (2021)

Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)

Nonparametric hazard rate estimation with associated kernels and minimax bandwidth choice
by: Breuil, Luce, et al.
Published: (2025)

Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes
by: Giordano, Matteo, et al.
Published: (2023)

A New Look at the Visual Performance of Nonparametric Hazard Rate Estimators
by: Gefeller, Olaf, et al.
Published: (2026)

Nonparametric estimation of the diffusion coefficient from S.D.E. paths
by: Ella-Mintsa, Eddy
Published: (2023)

Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices
by: Bibaut, Aurélien, et al.
Published: (2024)