Saved in:
| Main Authors: | Guo, Wanru, Xie, Juan, Wang, Binbin, Chen, Weicong, Lu, Xiaoyi, Chaudhary, Vipin, Tatsuoka, Curtis |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.07258 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ba-ZebraConf: A Three-Dimension Bayesian Framework for Efficient System Troubleshooting
by: Xing, Deyi, et al.
Published: (2024)
by: Xing, Deyi, et al.
Published: (2024)
High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
by: Bae, Youngho, et al.
Published: (2026)
by: Bae, Youngho, et al.
Published: (2026)
Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data
by: Gauran, Iris Ivy, et al.
Published: (2024)
by: Gauran, Iris Ivy, et al.
Published: (2024)
Performance Analysis of Monte Carlo Algorithms in Dense Subgraph Identification
by: Guo, Wanru
Published: (2024)
by: Guo, Wanru
Published: (2024)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
Identifying Causes of Test Unfairness: Manipulability and Separability
by: Suk, Youmi, et al.
Published: (2026)
by: Suk, Youmi, et al.
Published: (2026)
High Dimensional Mean Test for Shrinking Random Variables with Applications to Backtesting
by: Chen, Liujun, et al.
Published: (2026)
by: Chen, Liujun, et al.
Published: (2026)
Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses
by: Liu, Hui, et al.
Published: (2017)
by: Liu, Hui, et al.
Published: (2017)
Diffusion-Driven High-Dimensional Variable Selection
by: Wang, Minjie, et al.
Published: (2025)
by: Wang, Minjie, et al.
Published: (2025)
Bayesian Variable Selection and Sparse Estimation for High-Dimensional Graphical Models
by: Chakravarti, Anwesha, et al.
Published: (2024)
by: Chakravarti, Anwesha, et al.
Published: (2024)
Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data
by: Pak, Daewoo, et al.
Published: (2024)
by: Pak, Daewoo, et al.
Published: (2024)
High dimensional Mean Test for Temporal Dependent Data
by: Hu, Yuchen, et al.
Published: (2025)
by: Hu, Yuchen, et al.
Published: (2025)
Adaptive Change Point Inference for High Dimensional Time Series with Temporal Dependence
by: Wang, Xiaoyi, et al.
Published: (2025)
by: Wang, Xiaoyi, et al.
Published: (2025)
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020)
by: Shen, Cencheng, et al.
Published: (2020)
Robust Quickest Correlation Change Detection in High-Dimensional Random Vectors
by: Alghamdi, Assma, et al.
Published: (2024)
by: Alghamdi, Assma, et al.
Published: (2024)
Scale-Invariant Robust Estimation of High-Dimensional Kronecker-Structured Matrices
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
Curse of Dimensionality in Bayesian Model Updating
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
Robust Spatial-Sign-Based Testing of High-Dimensional Alpha in Conditional Factor Models
by: Zhao, Ping, et al.
Published: (2026)
by: Zhao, Ping, et al.
Published: (2026)
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)
by: Bae, Youngho, et al.
Published: (2024)
Distributionally Robust Synthetic Control: Ensuring Robustness Against Highly Correlated Controls and Weight Shifts
by: Koo, Taehyeon, et al.
Published: (2025)
by: Koo, Taehyeon, et al.
Published: (2025)
Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
by: Ouyang, Jing, et al.
Published: (2026)
by: Ouyang, Jing, et al.
Published: (2026)
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)
Testing Independence Between High-Dimensional Random Vectors Using Rank-Based Max-Sum Tests
by: Wang, Hongfei, et al.
Published: (2024)
by: Wang, Hongfei, et al.
Published: (2024)
Beyond False Discovery Rate: A Stepdown Group SLOPE Approach for Grouped Variable Selection
by: Zhang, Xuelin, et al.
Published: (2026)
by: Zhang, Xuelin, et al.
Published: (2026)
Factor-Adjusted Multiple Testing for High-Dimensional Individual Mediation Effects
by: Shi, Chen, et al.
Published: (2026)
by: Shi, Chen, et al.
Published: (2026)
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)
Nonparametric Testing and Variable Selection for ARCH-m(X) Model
by: Zambom, Adriano Zanin, et al.
Published: (2026)
by: Zambom, Adriano Zanin, et al.
Published: (2026)
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
by: Zhang, Zhenhao, et al.
Published: (2024)
by: Zhang, Zhenhao, et al.
Published: (2024)
Structural Change Detection in High-Dimensional Transformed Factor Models via Canonical Correlation Analysis
by: Jia, Lei, et al.
Published: (2026)
by: Jia, Lei, et al.
Published: (2026)
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
by: Guo, Xingche, et al.
Published: (2023)
by: Guo, Xingche, et al.
Published: (2023)
Adaptive Test for High Dimensional Quantile Regression
by: Zhao, Ping, et al.
Published: (2025)
by: Zhao, Ping, et al.
Published: (2025)
Stable Distillation and High-Dimensional Hypothesis Testing
by: Christ, Ryan, et al.
Published: (2022)
by: Christ, Ryan, et al.
Published: (2022)
Adaptive Sphericity Tests for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)
by: Zhao, Ping, et al.
Published: (2024)
Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models
by: Wang, Changhu, et al.
Published: (2025)
by: Wang, Changhu, et al.
Published: (2025)
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
by: Lin, Yinan, et al.
Published: (2023)
by: Lin, Yinan, et al.
Published: (2023)
Automating the Selection of Proxy Variables of Unmeasured Confounders
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)
by: Tan, Falong, et al.
Published: (2024)
Sparse-Group Factor Analysis for High-Dimensional Time Series
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Robust Variable Selection in High-dimensional Nonparametric Additive Model
by: Chatla, Suneel Babu, et al.
Published: (2025)
by: Chatla, Suneel Babu, et al.
Published: (2025)
High Dimensional Sparse Canonical Correlation Analysis for Elliptical Symmetric Distributions
by: Qian, Chengde, et al.
Published: (2025)
by: Qian, Chengde, et al.
Published: (2025)
Similar Items
-
Ba-ZebraConf: A Three-Dimension Bayesian Framework for Efficient System Troubleshooting
by: Xing, Deyi, et al.
Published: (2024) -
High-Dimensional Mediation Analysis for Generalized Linear Models Using Bayesian Variable Selection Guided by Mediator Correlation
by: Bae, Youngho, et al.
Published: (2026) -
Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data
by: Gauran, Iris Ivy, et al.
Published: (2024) -
Performance Analysis of Monte Carlo Algorithms in Dense Subgraph Identification
by: Guo, Wanru
Published: (2024) -
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)