Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yikun, Giessing, Alexander, Chen, Yen-Chi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)
by: Zhang, Yikun, et al.
Published: (2024)
Strategic Play and Home Advantage: Coaches' Tactical Impact in Serie A
by: Angelini, Francesco, et al.
Published: (2025)
by: Angelini, Francesco, et al.
Published: (2025)
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)
by: Zheng, Fangyong, et al.
Published: (2026)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)
by: Ge, Chunlei, et al.
Published: (2024)
Robust Penalized Estimators for High--Dimensional Generalized Linear Models
by: Valdora, Marina, et al.
Published: (2023)
by: Valdora, Marina, et al.
Published: (2023)
Optimal shrinkage estimation in heteroscedastic hierarchical linear models
by: Kou, Samuel, et al.
Published: (2015)
by: Kou, Samuel, et al.
Published: (2015)
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)
by: Li, Hanqing, et al.
Published: (2026)
Asymptotic Distribution of Low-Dimensional Patterns Induced by Non-Differentiable Regularizers under General Loss Functions
by: Hejný, Ivan, et al.
Published: (2025)
by: Hejný, Ivan, et al.
Published: (2025)
A Bayesian approach to functional regression: theory and computation
by: Berrendero, José R., et al.
Published: (2023)
by: Berrendero, José R., et al.
Published: (2023)
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
by: Dey, Debangan, et al.
Published: (2022)
by: Dey, Debangan, et al.
Published: (2022)
Tuning free Catoni type joint robust estimation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Improving variable selection properties with data integration and transfer learning
by: Rognon-Vael, Paul, et al.
Published: (2025)
by: Rognon-Vael, Paul, et al.
Published: (2025)
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)
by: Hyun, Sangwon, et al.
Published: (2025)
Composite Lp-quantile regression, near quantile regression and the oracle model selection theory
by: Mou, Fuming Lin WEilin
Published: (2025)
by: Mou, Fuming Lin WEilin
Published: (2025)
Debiased inference in error-in-variable problems with non-Gaussian measurement error
by: Woolsey, Nicholas W., et al.
Published: (2025)
by: Woolsey, Nicholas W., et al.
Published: (2025)
A Principled Approach to Bayesian Transfer Learning
by: Bretherton, Adam, et al.
Published: (2025)
by: Bretherton, Adam, et al.
Published: (2025)
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)
by: Wu, Jie, et al.
Published: (2025)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
A semiparametric generalized exponential regression model with a principled distance-based prior
by: Dey, Arijit, et al.
Published: (2023)
by: Dey, Arijit, et al.
Published: (2023)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, et al.
Published: (2025)
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
by: Hasan, Mahmud, et al.
Published: (2026)
by: Hasan, Mahmud, et al.
Published: (2026)
Model selection by cross-validation in an expectile linear regression
by: Bousselmi, Bilel, et al.
Published: (2026)
by: Bousselmi, Bilel, et al.
Published: (2026)
Sparse factor models of high dimension
by: Poignard, Benjamin, et al.
Published: (2023)
by: Poignard, Benjamin, et al.
Published: (2023)
Predictive Inference via Kernel Density Estimates
by: Hilbert, Torey
Published: (2026)
by: Hilbert, Torey
Published: (2026)
Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)
by: Mollenhauer, Mattes, et al.
Published: (2025)
Improved estimators in Bell regression model with application
by: Seifollahi, Solmaz, et al.
Published: (2024)
by: Seifollahi, Solmaz, et al.
Published: (2024)
Nonparametric geostatistical risk mapping
by: Fernández-casal, Rubén, et al.
Published: (2024)
by: Fernández-casal, Rubén, et al.
Published: (2024)
Nonparametric conditional risk mapping under heteroscedasticity
by: Fernández-Casal, Rubén, et al.
Published: (2024)
by: Fernández-Casal, Rubén, et al.
Published: (2024)
On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
by: Genest, Christian, et al.
Published: (2024)
by: Genest, Christian, et al.
Published: (2024)
A method for sparse and robust independent component analysis
by: Heinonen, Lauri, et al.
Published: (2025)
by: Heinonen, Lauri, et al.
Published: (2025)
Projection predictive variable selection for discrete response families with finite support
by: Weber, Frank, et al.
Published: (2023)
by: Weber, Frank, et al.
Published: (2023)
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)
by: Du, Shiyin, et al.
Published: (2026)
Localizing differences in smooths with simultaneous confidence bounds on the true discovery proportion
by: Swanson, David
Published: (2020)
by: Swanson, David
Published: (2020)
Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)
by: Zhao, Hongru, et al.
Published: (2024)
Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
by: Mack, Simon, et al.
Published: (2025)
by: Mack, Simon, et al.
Published: (2025)
Poisson Regression in one Covariate on Massive Data
by: Reuter, Torsten, et al.
Published: (2024)
by: Reuter, Torsten, et al.
Published: (2024)
Higher-Order Efficient Estimators: A Review and Simulation-Based Benchmark Study
by: Wang, Zeyi, et al.
Published: (2026)
by: Wang, Zeyi, et al.
Published: (2026)
A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression
by: Liland, Kristian Hovde, et al.
Published: (2022)
by: Liland, Kristian Hovde, et al.
Published: (2022)
Similar Items
-
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024) -
Strategic Play and Home Advantage: Coaches' Tactical Impact in Serie A
by: Angelini, Francesco, et al.
Published: (2025) -
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026) -
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024) -
Robust Penalized Estimators for High--Dimensional Generalized Linear Models
by: Valdora, Marina, et al.
Published: (2023)