Double-Estimation-Friendly Inference for High-Dimensional Measurement Error Models with Non-Sparse Adaptability
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Cui, Shijie, Guo, Xu, Yang, Songshan, Zhang, Zhe |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
par: Cui, Shijie, et autres
Publié: (2024)
par: Cui, Shijie, et autres
Publié: (2024)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
par: Zhang, Yilin, et autres
Publié: (2024)
par: Zhang, Yilin, et autres
Publié: (2024)
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
par: Sawaya, Kazuma, et autres
Publié: (2024)
par: Sawaya, Kazuma, et autres
Publié: (2024)
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)
Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
par: Zhang, Wenhao, et autres
Publié: (2026)
par: Zhang, Wenhao, et autres
Publié: (2026)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
par: Meng, Xuran, et autres
Publié: (2024)
par: Meng, Xuran, et autres
Publié: (2024)
Hypothesis Testing for High-Dimensional Matrix-Valued Data
par: Cui, Shijie, et autres
Publié: (2024)
par: Cui, Shijie, et autres
Publié: (2024)
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)
Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data
par: Gu, Yifan, et autres
Publié: (2025)
par: Gu, Yifan, et autres
Publié: (2025)
Causal Inference with High-Dimensional Treatments
par: Kramer, Patrick, et autres
Publié: (2026)
par: Kramer, Patrick, et autres
Publié: (2026)
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
par: Ge, Lin, et autres
Publié: (2023)
par: Ge, Lin, et autres
Publié: (2023)
Robust Max Statistics for High-Dimensional Inference
par: Liu, Mingshuo, et autres
Publié: (2024)
par: Liu, Mingshuo, et autres
Publié: (2024)
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
par: Duan, Jingyi, et autres
Publié: (2024)
par: Duan, Jingyi, et autres
Publié: (2024)
Sparse High-Dimensional Vector Autoregressive Bootstrap
par: Adamek, Robert, et autres
Publié: (2023)
par: Adamek, Robert, et autres
Publié: (2023)
Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
par: Parzer, Roman, et autres
Publié: (2023)
par: Parzer, Roman, et autres
Publié: (2023)
Frequency Domain Statistical Inference for High-Dimensional Time Series
par: Krampe, Jonas, et autres
Publié: (2022)
par: Krampe, Jonas, et autres
Publié: (2022)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
par: Liu, Hua, et autres
Publié: (2020)
par: Liu, Hua, et autres
Publié: (2020)
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
par: Chakrabortty, Abhishek, et autres
Publié: (2022)
par: Chakrabortty, Abhishek, et autres
Publié: (2022)
Statistical Inference on Latent Space Models for Network Data
par: Li, Jinming, et autres
Publié: (2023)
par: Li, Jinming, et autres
Publié: (2023)
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
par: Dobriban, Edgar, et autres
Publié: (2018)
par: Dobriban, Edgar, et autres
Publié: (2018)
Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
par: Liu, Zongge, et autres
Publié: (2024)
par: Liu, Zongge, et autres
Publié: (2024)
Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
par: Li, Lin
Publié: (2026)
par: Li, Lin
Publié: (2026)
Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
par: Zhou, Jing, et autres
Publié: (2026)
par: Zhou, Jing, et autres
Publié: (2026)
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
par: Tan, Falong, et autres
Publié: (2024)
par: Tan, Falong, et autres
Publié: (2024)
Measures and Models of Non-Monotonic Dependence
par: McNeil, Alexander J., et autres
Publié: (2025)
par: McNeil, Alexander J., et autres
Publié: (2025)
G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
par: Lee, Inbeom, et autres
Publié: (2025)
par: Lee, Inbeom, et autres
Publié: (2025)
SOFARI: High-Dimensional Manifold-Based Inference
par: Zheng, Zemin, et autres
Publié: (2023)
par: Zheng, Zemin, et autres
Publié: (2023)
Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
par: Kim, Honghyok
Publié: (2024)
par: Kim, Honghyok
Publié: (2024)
Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
par: Liu, Yi, et autres
Publié: (2026)
par: Liu, Yi, et autres
Publié: (2026)
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
par: Ojha, Abhishek, et autres
Publié: (2024)
par: Ojha, Abhishek, et autres
Publié: (2024)
Estimation and Inference for Change Points in Functional Regression Time Series
par: Kumar, Shivam, et autres
Publié: (2024)
par: Kumar, Shivam, et autres
Publié: (2024)
Statistical Inference with Nonignorable Non-Probability Survey Samples
par: Liu, Yang, et autres
Publié: (2024)
par: Liu, Yang, 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)
On Statistical Inference for High-Dimensional Binary Time Series
par: Dai, Dehao, et autres
Publié: (2025)
par: Dai, Dehao, et autres
Publié: (2025)
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
par: Ramezani, Niloofar, et autres
Publié: (2025)
par: Ramezani, Niloofar, et autres
Publié: (2025)
Profiled Transfer Learning for High Dimensional Linear Model
par: Lin, Ziqian, et autres
Publié: (2024)
par: Lin, Ziqian, et autres
Publié: (2024)
A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
par: Bo, Shi, et autres
Publié: (2024)
par: Bo, Shi, et autres
Publié: (2024)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
par: Wang, Yuhao, et autres
Publié: (2020)
par: Wang, Yuhao, et autres
Publié: (2020)
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
par: Lin, Yinan, et autres
Publié: (2023)
par: Lin, Yinan, et autres
Publié: (2023)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
par: Cao, Cheng, et autres
Publié: (2023)
par: Cao, Cheng, et autres
Publié: (2023)
Documents similaires
-
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
par: Cui, Shijie, et autres
Publié: (2024) -
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
par: Zhang, Yilin, et autres
Publié: (2024) -
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
par: Sawaya, Kazuma, et autres
Publié: (2024) -
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
par: Wang, Yi, et autres
Publié: (2025) -
Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
par: Zhang, Wenhao, et autres
Publié: (2026)