Debiased Prediction Inference with Non-sparse Loadings in Misspecified High-dimensional Regression Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Liang, Libin, Tan, Zhiqiang |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
On Ridge Estimation in High-dimensional Rotationally Sparse Linear Regression
par: Liang, Libin, et autres
Publié: (2024)
par: Liang, Libin, et autres
Publié: (2024)
Debiased Bayesian Inference for High-dimensional Regression Models
par: Chen, Qihui, et autres
Publié: (2025)
par: Chen, Qihui, et autres
Publié: (2025)
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
par: Wang, Yi, et autres
Publié: (2025)
par: Wang, Yi, et autres
Publié: (2025)
Uniform Consistency of Generalized Cross-Validation for Ridge Regression in High-Dimensional Misspecified Linear Models
par: Shinkyu, Akira
Publié: (2026)
par: Shinkyu, Akira
Publié: (2026)
Non-Bayesian Learning in Misspecified Models
par: Bervoets, Sebastian, et autres
Publié: (2025)
par: Bervoets, Sebastian, et autres
Publié: (2025)
Statistical Inference for Misspecified Contextual Bandits
par: Guo, Yongyi, et autres
Publié: (2025)
par: Guo, Yongyi, et autres
Publié: (2025)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
par: Kock, Lucas, et autres
Publié: (2026)
par: Kock, Lucas, et autres
Publié: (2026)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
par: Kato, Masahiro
Publié: (2024)
par: Kato, Masahiro
Publié: (2024)
Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models
par: Casini, Alessandro
Publié: (2021)
par: Casini, Alessandro
Publié: (2021)
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)
A Reflection on the Impact of Misspecifying Unidentifiable Causal Inference Models in Surrogate Endpoint Evaluation
par: Deliorman, Gokce, et autres
Publié: (2024)
par: Deliorman, Gokce, et autres
Publié: (2024)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
par: Rakshit, Prabrisha, et autres
Publié: (2024)
par: Rakshit, Prabrisha, et autres
Publié: (2024)
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
par: Rockova, Veronika
Publié: (2023)
par: Rockova, Veronika
Publié: (2023)
Cutting Feedback in Misspecified Copula Models
par: Smith, Michael Stanley, et autres
Publié: (2023)
par: Smith, Michael Stanley, et autres
Publié: (2023)
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
par: Li, Yufan, et autres
Publié: (2023)
par: Li, Yufan, et autres
Publié: (2023)
On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
par: Taing, Roddy, et autres
Publié: (2026)
par: Taing, Roddy, et autres
Publié: (2026)
A Modern Theory for High-dimensional Cox Regression Models
par: Ye, Hanxuan, et autres
Publié: (2022)
par: Ye, Hanxuan, et autres
Publié: (2022)
On the Optimality of Misspecified Spectral Algorithms
par: Zhang, Haobo, et autres
Publié: (2023)
par: Zhang, Haobo, et autres
Publié: (2023)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
par: Meng, Xuran, et autres
Publié: (2024)
par: Meng, Xuran, et autres
Publié: (2024)
Iteratively reweighted kernel machines efficiently learn sparse functions
par: Zhu, Libin, et autres
Publié: (2025)
par: Zhu, Libin, et autres
Publié: (2025)
Revisiting the Misspecified Cramér-Rao Bound
par: Khatib, Malaak, et autres
Publié: (2026)
par: Khatib, Malaak, et autres
Publié: (2026)
High-dimensional (Group) Adversarial Training in Linear Regression
par: Xie, Yiling, et autres
Publié: (2024)
par: Xie, Yiling, et autres
Publié: (2024)
Misspecified Maximum Likelihood Estimation for Non-Uniform Group Orbit Recovery
par: Xu, Sheng, et autres
Publié: (2025)
par: Xu, Sheng, et autres
Publié: (2025)
A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
par: Kato, Masahiro
Publié: (2025)
par: Kato, Masahiro
Publié: (2025)
Statistical Inference for Gradient Boosting Regression
par: Fang, Haimo, et autres
Publié: (2025)
par: Fang, Haimo, et autres
Publié: (2025)
On high-dimensional classification by sparse generalized Bayesian logistic regression
par: Mai, The Tien
Publié: (2024)
par: Mai, The Tien
Publié: (2024)
Debiased Estimators in High-Dimensional Regression: A Review and Replication of Javanmard and Montanari (2014)
par: Smith, Benjamin
Publié: (2026)
par: Smith, Benjamin
Publié: (2026)
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
par: Agrawalla, Bhavya, et autres
Publié: (2023)
par: Agrawalla, Bhavya, et autres
Publié: (2023)
High-dimensional prediction for count response via sparse exponential weights
par: Mai, The Tien
Publié: (2024)
par: Mai, The Tien
Publié: (2024)
Causal Inference with High-dimensional Discrete Covariates
par: Zeng, Zhenghao, et autres
Publié: (2024)
par: Zeng, Zhenghao, et autres
Publié: (2024)
Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
par: Pal, Samhita, et autres
Publié: (2024)
par: Pal, Samhita, et autres
Publié: (2024)
Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
par: Zhang, Yichi, et autres
Publié: (2025)
par: Zhang, Yichi, et autres
Publié: (2025)
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
par: Sert, Gözde, et autres
Publié: (2025)
par: Sert, Gözde, et autres
Publié: (2025)
Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
par: Lu, Xin, et autres
Publié: (2023)
par: Lu, Xin, et autres
Publié: (2023)
Debiased Regression for Root-N-Consistent Conditional Mean Estimation
par: Kato, Masahiro
Publié: (2024)
par: Kato, Masahiro
Publié: (2024)
Misspecified Bernstein-Von Mises theorem for hierarchical models
par: Koers, Geerten, et autres
Publié: (2023)
par: Koers, Geerten, et autres
Publié: (2023)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
par: Zheng, Dian, et autres
Publié: (2025)
par: Zheng, Dian, et autres
Publié: (2025)
Asymptotic Inference for Constrained Regression
par: Sankaranarayanan, Madhav, et autres
Publié: (2025)
par: Sankaranarayanan, Madhav, et autres
Publié: (2025)
A minimax optimal approach to high-dimensional double sparse linear regression
par: Zhang, Yanhang, et autres
Publié: (2023)
par: Zhang, Yanhang, et autres
Publié: (2023)
ANOVA for High-dimensional Non-stationary Time Series
par: Zhang, Yunyi
Publié: (2025)
par: Zhang, Yunyi
Publié: (2025)
Documents similaires
-
On Ridge Estimation in High-dimensional Rotationally Sparse Linear Regression
par: Liang, Libin, et autres
Publié: (2024) -
Debiased Bayesian Inference for High-dimensional Regression Models
par: Chen, Qihui, et autres
Publié: (2025) -
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
par: Wang, Yi, et autres
Publié: (2025) -
Uniform Consistency of Generalized Cross-Validation for Ridge Regression in High-Dimensional Misspecified Linear Models
par: Shinkyu, Akira
Publié: (2026) -
Non-Bayesian Learning in Misspecified Models
par: Bervoets, Sebastian, et autres
Publié: (2025)