Repro Samples Method for High-dimensional Logistic Model
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Hou, Xiaotian, Zhang, Linjun, Wang, Peng, Xie, Min-ge |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Repro Samples Method for Model-Free Inference in High-Dimensional Binary Classification
par: Hou, Xiaotian, et autres
Publié: (2025)
par: Hou, Xiaotian, et autres
Publié: (2025)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
par: Wang, Peng, et autres
Publié: (2022)
par: Wang, Peng, et autres
Publié: (2022)
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness
par: Hou, Xiaotian, et autres
Publié: (2024)
par: Hou, Xiaotian, et autres
Publié: (2024)
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
par: Xie, Minge, et autres
Publié: (2024)
par: Xie, Minge, et autres
Publié: (2024)
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
par: Zhang, Zhixian, et autres
Publié: (2026)
par: Zhang, Zhixian, et autres
Publié: (2026)
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
par: Yu, Xiufan, et autres
Publié: (2024)
par: Yu, Xiufan, et autres
Publié: (2024)
Finite-Sample Valid Rank Confidence Sets for a Broad Class of Statistical and Machine Learning Models
par: Chandra, Onrina, et autres
Publié: (2025)
par: Chandra, Onrina, et autres
Publié: (2025)
Comparing Variable Selection and Model Averaging Methods for Logistic Regression
par: Sekulovski, Nikola, et autres
Publié: (2025)
par: Sekulovski, Nikola, et autres
Publié: (2025)
Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
par: Wang, Shouxia, et autres
Publié: (2025)
par: Wang, Shouxia, et autres
Publié: (2025)
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
par: Li, Sai, et autres
Publié: (2024)
par: Li, Sai, et autres
Publié: (2024)
Personalizing black-box models for nonparametric regression with minimax optimality
par: Li, Sai, et autres
Publié: (2026)
par: Li, Sai, et autres
Publié: (2026)
Efficient First-Order Methods for Estimating Generalized Additive Index Models
par: Peng, Ziyu, et autres
Publié: (2026)
par: Peng, Ziyu, et autres
Publié: (2026)
Factorized Tail Volatility Model: Augmenting Excess-over-Threshold Method for High-Dimensional Hevay-Tailed Data
par: Hu, Yifan, et autres
Publié: (2025)
par: Hu, Yifan, et autres
Publié: (2025)
Accurate Inference for Penalized Logistic Regression
par: Zhang, Yuming, et autres
Publié: (2024)
par: Zhang, Yuming, et autres
Publié: (2024)
Spatial-Sign based High dimensional Change Point Inference
par: Liu, Jixuan, et autres
Publié: (2025)
par: Liu, Jixuan, et autres
Publié: (2025)
A Compound Logistic Regression Model for Binary Responses
par: Almudevar, Anthony, et autres
Publié: (2026)
par: Almudevar, Anthony, et autres
Publié: (2026)
Statistical Inference for Differentially Private Stochastic Gradient Descent
par: Xia, Xintao, et autres
Publié: (2025)
par: Xia, Xintao, et autres
Publié: (2025)
Logistic Regression Model for Differentially-Private Matrix Masked Data
par: Nghiem, Linh H, et autres
Publié: (2024)
par: Nghiem, Linh H, et autres
Publié: (2024)
High Dimensional Logistic Regression Under Network Dependence
par: Mukherjee, Somabha, et autres
Publié: (2021)
par: Mukherjee, Somabha, et autres
Publié: (2021)
Mixture Modeling for Temporal Point Processes with Memory
par: Zheng, Xiaotian, et autres
Publié: (2024)
par: Zheng, Xiaotian, et autres
Publié: (2024)
Comparative Review of Modern Competing Risk Methods in High-dimensional Settings
par: Djangang, Paul M., et autres
Publié: (2025)
par: Djangang, Paul M., et autres
Publié: (2025)
On Construction and Estimation of Stationary Mixture Transition Distribution Models
par: Zheng, Xiaotian, et autres
Publié: (2020)
par: Zheng, Xiaotian, et autres
Publié: (2020)
Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
par: Cai, Zhanrui, et autres
Publié: (2023)
par: Cai, Zhanrui, et autres
Publié: (2023)
High-dimensional Autoregressive Modeling for Time Series with Hierarchical Structures
par: Li, Lan, et autres
Publié: (2025)
par: Li, Lan, et autres
Publié: (2025)
Variational Bayesian Logistic Tensor Regression with Application to Image Recognition
par: Jin, Yunzhi, et autres
Publié: (2025)
par: Jin, Yunzhi, et autres
Publié: (2025)
A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
par: Xie, Dongyue, et autres
Publié: (2026)
par: Xie, Dongyue, et autres
Publié: (2026)
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
par: Tian, Ye, et autres
Publié: (2024)
par: Tian, Ye, et autres
Publié: (2024)
High-dimensional low-rank matrix regression with unknown latent structures
par: Wang, Di, et autres
Publié: (2025)
par: Wang, Di, et autres
Publié: (2025)
A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems
par: Sutton, Jack, et autres
Publié: (2023)
par: Sutton, Jack, et autres
Publié: (2023)
Feature Selection in High-dimensional Spaces Using Graph-Based Methods
par: Ghosh, Swarnadip, et autres
Publié: (2021)
par: Ghosh, Swarnadip, et autres
Publié: (2021)
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
par: Cai, T. Tony, et autres
Publié: (2023)
par: Cai, T. Tony, et autres
Publié: (2023)
A-optimal Designs under Generalized Linear Models
par: Yang, Yingying, et autres
Publié: (2025)
par: Yang, Yingying, et autres
Publié: (2025)
Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
par: Zhang, Yongxia, et autres
Publié: (2025)
par: Zhang, Yongxia, et autres
Publié: (2025)
Doubly Robust Conditional Independence Testing with Generative Neural Networks
par: Zhang, Yi, et autres
Publié: (2024)
par: Zhang, Yi, et autres
Publié: (2024)
Synthetic Heterogeneous-Effects LASSO: A Fixed-effects Estimation Approach for High-dimensional Mixed-effects Models
par: Ye, Shangyuan, et autres
Publié: (2026)
par: Ye, Shangyuan, et autres
Publié: (2026)
Bias-Corrected Data Synthesis for Imbalanced Learning
par: Lyu, Pengfei, et autres
Publié: (2025)
par: Lyu, Pengfei, et autres
Publié: (2025)
From Likelihood to Limit State: A Reliability-Inspired Framework for Bayesian Evidence Estimation and High-dimensional Sampling
par: Liao, Zihan, et autres
Publié: (2024)
par: Liao, Zihan, et autres
Publié: (2024)
A Shrinkage Likelihood Ratio Test for High-Dimensional Subgroup Analysis with a Logistic-Normal Mixture Model
par: Takeishi, Shota
Publié: (2023)
par: Takeishi, Shota
Publié: (2023)
Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs
par: Wang, Lingxiao
Publié: (2023)
par: Wang, Lingxiao
Publié: (2023)
Robust Quickest Change Detection with Sampling Control
par: Hou, Yingze, et autres
Publié: (2024)
par: Hou, Yingze, et autres
Publié: (2024)
Documents similaires
-
Repro Samples Method for Model-Free Inference in High-Dimensional Binary Classification
par: Hou, Xiaotian, et autres
Publié: (2025) -
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
par: Wang, Peng, et autres
Publié: (2022) -
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness
par: Hou, Xiaotian, et autres
Publié: (2024) -
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
par: Xie, Minge, et autres
Publié: (2024) -
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
par: Zhang, Zhixian, et autres
Publié: (2026)