Cover Image

Partial Conditioning for Inference of Many-Normal-Means with Hölder Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Jiasen, Wang, Xiao, Liu, Chuanhai
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimation of Over-parameterized Models from an Auto-Modeling Perspective
by: Jiang, Yiran, et al.
Published: (2022)

The typicality principle and its implications for statistics and data science
by: Jiang, Yiran, et al.
Published: (2025)

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
by: Wang, Rui, et al.
Published: (2025)

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
by: Bu, Qiushi, et al.
Published: (2025)

Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)

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

Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques
by: Oliveira, Natalia L., et al.
Published: (2021)

Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
by: Cui, Shijie, et al.
Published: (2024)

Autocorrelation Test under Frequent Mean Shifts
by: Liu, Ziyang, et al.
Published: (2025)

Splitting schemes and estimators for stochastic differential equations with Hölder multiplicative noise
by: Fang, Bowen, et al.
Published: (2026)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)

A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)

A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
by: Liu, Tianle, et al.
Published: (2025)

Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design Condition
by: Iguchi, Yuga, et al.
Published: (2023)

GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
by: Ye, Ting, et al.
Published: (2021)

A Geometric Perspective on Bayesian and Generalized Fiducial Inference
by: Liu, Yang, et al.
Published: (2022)

Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)

A General Framework for Cutting Feedback within Modularised Bayesian Inference
by: Liu, Yang, et al.
Published: (2022)

Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
by: Yang, Letian, et al.
Published: (2024)

TUNE: Algorithm-Agnostic Inference after Changepoint Detection
by: Jia, Yinxu, et al.
Published: (2024)

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

Equivalence Test for Mean Functions from Multi-population Functional Data
by: Xu, Chuang, et al.
Published: (2025)

Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
by: Wang, Leda, et al.
Published: (2024)

Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
by: Xie, Minge, et al.
Published: (2024)

Power Enhancement of Permutation-Augmented Partial-Correlation Tests via Fixed-Row Permutations
by: Wang, Tianyi, et al.
Published: (2025)

Model Selection for Unit-root Time Series with Many Predictors
by: Huang, Shuo-Chieh, et al.
Published: (2025)

Semiparametric Joint Inference for Sensitivity and Specificity at the Youden-Optimal Cut-Off
by: Liu, Siyan, et al.
Published: (2026)

Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)

Partial correlation networks of Gaussian processes
by: Peruzzi, Michele
Published: (2026)

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

A General Framework on Conditions for Constraint-based Causal Learning
by: Teh, Kai Z., et al.
Published: (2024)

Statistical Inference for Cell Type Deconvolution
by: Xie, Dongyue, et al.
Published: (2022)

A Random-effects Approach to Regression Involving Many Categorical Predictors and Their Interactions
by: Sun, Hanmei, et al.
Published: (2024)

Model Selection over Partially Ordered Sets
by: Taeb, Armeen, et al.
Published: (2023)

Inference under covariate-adaptive randomization with many strata
by: Xin, Jiahui, et al.
Published: (2024)

Robust Inference Under Heteroskedasticity via the Hadamard Estimator
by: Dobriban, Edgar, et al.
Published: (2018)

Empirical Likelihood Meets Prediction-Powered Inference
by: Wang, Guanghui, et al.
Published: (2025)

Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)

Conditional Predictive Inference for General Structured Data with Group Symmetries
by: Shen, Yichen, et al.
Published: (2026)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
by: Dey, Monitirtha, et al.
Published: (2023)