Saved in:
| Main Authors: | Zhou, Shuya, Xia, Junwen, Zhang, Jingxiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.15911 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022)
by: Xia, Junwen, et al.
Published: (2022)
Successive classification learning for estimating quantile optimal treatment regimes
by: Xia, Junwen, et al.
Published: (2025)
by: Xia, Junwen, et al.
Published: (2025)
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024)
by: Ye, Shangyuan, et al.
Published: (2024)
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by: Shen, Shuting, et al.
Published: (2023)
by: Shen, Shuting, et al.
Published: (2023)
Model-free Feature Screening via Revised Chatterjee's Rank Correlation for Ultra-high Dimensional Censored Data
by: Chen, Shuya, et al.
Published: (2026)
by: Chen, Shuya, et al.
Published: (2026)
Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)
by: Carter, Selina, et al.
Published: (2025)
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
by: Meng, Kun, et al.
Published: (2022)
by: Meng, Kun, et al.
Published: (2022)
Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
by: Zeng, Liyun, et al.
Published: (2023)
by: Zeng, Liyun, et al.
Published: (2023)
A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
by: Liu, Tianle, et al.
Published: (2025)
by: Liu, Tianle, et al.
Published: (2025)
Elite-Driven Support Vector Machines for Classification
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
Scalable and Distributed Individualized Treatment Rules for Massive Datasets
by: Qiao, Nan, et al.
Published: (2025)
by: Qiao, Nan, et al.
Published: (2025)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Clustering Tails in High Dimension
by: Chen, Liujun, et al.
Published: (2025)
by: Chen, Liujun, et al.
Published: (2025)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, et al.
Published: (2025)
Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)
by: Zhang, Yongxia, et al.
Published: (2025)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)
by: Liu, Mingshuo, et al.
Published: (2024)
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
by: Schenk, Patrick Oliver, et al.
Published: (2024)
by: Schenk, Patrick Oliver, et al.
Published: (2024)
Making Effective Statistical Inferences: From Significance Testing to the Open Science Inference Ecosystem (2016-2026)
by: Patra, Aswini Kumar
Published: (2026)
by: Patra, Aswini Kumar
Published: (2026)
Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)
by: Wen, Xin, et al.
Published: (2023)
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)
by: Wu, Qiuyi, et al.
Published: (2026)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
by: Kar, Ankan, et al.
Published: (2024)
by: Kar, Ankan, et al.
Published: (2024)
Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
by: Duan, Congyuan, et al.
Published: (2025)
by: Duan, Congyuan, et al.
Published: (2025)
Frequency Domain Statistical Inference for High-Dimensional Time Series
by: Krampe, Jonas, et al.
Published: (2022)
by: Krampe, Jonas, et al.
Published: (2022)
Statistical Inference Leveraging Synthetic Data with Distribution-Free Guarantees
by: Bashari, Meshi, et al.
Published: (2025)
by: Bashari, Meshi, et al.
Published: (2025)
Local Interaction Autoregressive Model for High Dimension Time Series Data
by: Li, Jingyang, et al.
Published: (2025)
by: Li, Jingyang, et al.
Published: (2025)
Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)
by: Liu, Zhaozhe, et al.
Published: (2026)
Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)
by: Wan, Yunrong
Published: (2024)
Joint Optimization and Statistical Inference for Zero-th Order Simulation Optimization
by: Wu, Yuhang, et al.
Published: (2022)
by: Wu, Yuhang, et al.
Published: (2022)
Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)
by: Lee, Byeonghee, et al.
Published: (2025)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Nonparametric Statistical Inference for Multivariate Niche Overlap
by: Beck, Jonas, et al.
Published: (2026)
by: Beck, Jonas, et al.
Published: (2026)
Statistical Inference for Generalized Integer Autoregressive Processes
by: Kaur, Pashmeen, et al.
Published: (2024)
by: Kaur, Pashmeen, et al.
Published: (2024)
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026)
by: Dale, Reid, et al.
Published: (2026)
Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)
by: Zhou, Doudou, et al.
Published: (2022)
Similar Items
-
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022) -
Successive classification learning for estimating quantile optimal treatment regimes
by: Xia, Junwen, et al.
Published: (2025) -
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024) -
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by: Shen, Shuting, et al.
Published: (2023) -
Model-free Feature Screening via Revised Chatterjee's Rank Correlation for Ultra-high Dimensional Censored Data
by: Chen, Shuya, et al.
Published: (2026)