Cover Image

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Shuting, Lu, Junwei, Lin, Xihong
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)

Debiased Estimating Equation Method for Robust and Efficient Mendelian Randomization Using a Large Number of Correlated Weak and Invalid Instruments
by: Wang, Ruoyu, et al.
Published: (2024)

Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
by: Zhou, Shuya, et al.
Published: (2026)

High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024)

A Unified Framework for Large-Scale Inference of Classification: Error Rate Control and Optimality
by: Sun, Yinrui, et al.
Published: (2025)

Ensemble methods for testing a global null
by: Liu, Yaowu, et al.
Published: (2023)

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

On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
by: Choi, Chak Fung, et al.
Published: (2026)

Cellwise Robust Twoblock Dimension Reduction
by: Serneels, Sven
Published: (2026)

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025)

HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024)

Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)

Post-Hoc Large-Sample Statistical Inference
by: Chugg, Ben, et al.
Published: (2026)

Asymptotic Inference for Rank Correlations
by: Pohle, Marc-Oliver, et al.
Published: (2025)

Sequential and Simultaneous Distance-based Dimension Reduction
by: Ni, Yijin, et al.
Published: (2019)

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

Robust Twoblock Simultaneous Dimension Reduction
by: Serneels, Sven
Published: (2026)

Asymptotic Online FWER Control for Dependent Test Statistics
by: Jankovic, Vincent, et al.
Published: (2024)

Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)

The permuted score test for robust differential expression analysis
by: Barry, Timothy, et al.
Published: (2025)

Minimum Average Deviance Estimation for Sufficient Dimension Reduction
by: Adragni, Kofi P., et al.
Published: (2016)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)

Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)

Dimension Reduction for Characterizing Sexual Dimorphism in Biomechanics of the Temporomandibular Joint
by: Park, Sung Hee, et al.
Published: (2025)

Robust Sufficient Dimension Reduction via $α$-Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)

Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression
by: Ratkovic, Marc
Published: (2025)

Unifiedly Efficient Inference on All-Dimensional Targets for Large-Scale GLMs
by: Fu, Bo, et al.
Published: (2025)

Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods
by: Beyaztas, Ufuk, et al.
Published: (2024)

Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)

Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
by: Sonabend, Aaron, et al.
Published: (2024)

The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)

Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)

False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks
by: Machkour, Jasin, et al.
Published: (2024)

Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)

Dimension Reduction in Multivariate Extremes via Latent Linear Factor Models
by: Boulin, Alexis, et al.
Published: (2026)

A Principal Square Response Forward Regression Method for Dimension Reduction
by: Li, Zheng, et al.
Published: (2024)

A Local Modal Outer-Product-Gradient Estimator for Dimension Reduction
by: Li, Zheng, et al.
Published: (2024)