Scalable and efficient inference via CPE

DOI10.1080/03610926.2021.1936044OpenAlexW3168159541MaRDI QIDQ6107593

Yang Li, Yumeng Wang, Unnamed Author, Yachong Yang, Zemin Zheng

Publication date: 3 July 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2021.1936044

zbMATH Keywords

confidence intervalsscalabilityhigh dimensionalitybias correctionconstrained projection

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• On asymptotically optimal confidence regions and tests for high-dimensional models
• Variable selection in regression with compositional covariates
• The Adaptive Lasso and Its Oracle Properties
• Asymptotic normality and optimalities in estimation of large Gaussian graphical models
• Exact post-selection inference, with application to the Lasso
• Valid post-selection inference
• Statistical significance in high-dimensional linear models
• High-dimensional variable selection
• Distributed testing and estimation under sparse high dimensional models
• Network exploration via the adaptive LASSO and SCAD penalties
• Coordinate descent algorithms
• Innovated interaction screening for high-dimensional nonlinear classification
• Simultaneous analysis of Lasso and Dantzig selector
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
• Scaled sparse linear regression
• A split-and-conquer approach for analysis of
• A Perturbation Method for Inference on Regularized Regression Estimates
• Principal component analysis of compositional data
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Stability Selection
• Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems
• Regularization and Variable Selection Via the Elastic Net
• High Dimensional Ordinary Least Squares Projection for Screening Variables
• Asymptotic properties for combined L1 and concave regularization
• Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models

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