Thresholded Lasso for high dimensional variable selection
Fuente:
arXiv
Saved in:
| Main Author: | Zhou, Shuheng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
by: Zhou, Shuheng, et al.
Published: (2023)
by: Zhou, Shuheng, et al.
Published: (2023)
Semidefinite programming on population clustering: a local analysis
by: Zhou, Shuheng
Published: (2023)
by: Zhou, Shuheng
Published: (2023)
Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
by: Amorino, Chiara, et al.
Published: (2024)
by: Amorino, Chiara, et al.
Published: (2024)
Semidefinite programming relaxations and debiasing for MAXCUT-based clustering
by: Zhou, Shuheng
Published: (2024)
by: Zhou, Shuheng
Published: (2024)
Kronecker sum covariance models for spatio-temporal data
by: Zhou, Shuheng, et al.
Published: (2025)
by: Zhou, Shuheng, et al.
Published: (2025)
Estimation and variable selection in high dimension in nonlinear mixed-effects models
by: Caillebotte, Antoine, et al.
Published: (2025)
by: Caillebotte, Antoine, et al.
Published: (2025)
The EAS approach to variable selection for multivariate response data in high-dimensional settings
by: Koner, Salil, et al.
Published: (2021)
by: Koner, Salil, et al.
Published: (2021)
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
by: Takada, Masaaki, et al.
Published: (2023)
by: Takada, Masaaki, et al.
Published: (2023)
An Optimal Design Framework for Lasso Sign Recovery
by: Stallrich, Jonathan W., et al.
Published: (2023)
by: Stallrich, Jonathan W., et al.
Published: (2023)
Group lasso based selection for high-dimensional mediation analysis
by: Jérolon, Allan, et al.
Published: (2024)
by: Jérolon, Allan, et al.
Published: (2024)
Spacing Test for Fused Lasso
by: Tasaka, Rieko, et al.
Published: (2025)
by: Tasaka, Rieko, et al.
Published: (2025)
On the design-dependent suboptimality of the Lasso
by: Pathak, Reese, et al.
Published: (2024)
by: Pathak, Reese, et al.
Published: (2024)
Triple/Double-Debiased Lasso
by: Chetverikov, Denis, et al.
Published: (2026)
by: Chetverikov, Denis, et al.
Published: (2026)
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
by: Naveau, Marion, et al.
Published: (2022)
by: Naveau, Marion, et al.
Published: (2022)
Prediction Suboptimality of the Lasso in Sparse Linear Regression
by: Liu, Guo
Published: (2026)
by: Liu, Guo
Published: (2026)
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
by: Dion-Blanc, Charlotte, et al.
Published: (2024)
by: Dion-Blanc, Charlotte, et al.
Published: (2024)
Asymptotic Distribution of Constrained Nearly-Isotonic Graph Fused Lasso
by: Pastukhov, Vladimir
Published: (2025)
by: Pastukhov, Vladimir
Published: (2025)
Estimation and variable selection in high dimension in a causal joint model of survival times and longitudinal outcomes with random effects
by: Caillebotte, Antoine, et al.
Published: (2023)
by: Caillebotte, Antoine, et al.
Published: (2023)
Asymptotic properties of adaptive group Lasso for sparse reduced rank regression
by: He, Kejun, et al.
Published: (2016)
by: He, Kejun, et al.
Published: (2016)
The noise barrier and the large signal bias of the Lasso and other convex estimators
by: Bellec, Pierre C
Published: (2018)
by: Bellec, Pierre C
Published: (2018)
On Consistency of Signature Using Lasso
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
Optimality and computational barriers in variable selection under dependence
by: Gao, Ming, et al.
Published: (2025)
by: Gao, Ming, et al.
Published: (2025)
Simulation-calibration testing for inference in Lasso regressions
by: Pluntz, Matthieu, et al.
Published: (2024)
by: Pluntz, Matthieu, et al.
Published: (2024)
Multi-block linearized alternating direction method for sparse fused Lasso modeling problems
by: Wu, Xiaofei, et al.
Published: (2023)
by: Wu, Xiaofei, et al.
Published: (2023)
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)
by: Lacroix, Perrine, et al.
Published: (2023)
Robust estimation with Lasso when outputs are adversarially contaminated
by: Sasai, Takeyuki, et al.
Published: (2020)
by: Sasai, Takeyuki, et al.
Published: (2020)
Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)
by: Huang, Tzu-Jung, et al.
Published: (2024)
Robust variable selection for partially linear additive models
by: Boente, Graciela, et al.
Published: (2024)
by: Boente, Graciela, et al.
Published: (2024)
Bayesian inference in high-dimensional models
by: Banerjee, Sayantan, et al.
Published: (2021)
by: Banerjee, Sayantan, et al.
Published: (2021)
Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning
by: Amann, Nicolai, et al.
Published: (2018)
by: Amann, Nicolai, et al.
Published: (2018)
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
by: Zhu, Ke, et al.
Published: (2021)
by: Zhu, Ke, et al.
Published: (2021)
The Threshold Breakdown Point
by: Ke, Tianjun, et al.
Published: (2026)
by: Ke, Tianjun, et al.
Published: (2026)
On testing mean of high dimensional compositional data
by: Jiang, Qianqian, et al.
Published: (2024)
by: Jiang, Qianqian, et al.
Published: (2024)
Spectral estimation for high-dimensional linear processes
by: Namdari, Jamshid, et al.
Published: (2025)
by: Namdari, Jamshid, et al.
Published: (2025)
Lasso and Partially-Rotated Designs
by: Buhai, Rares-Darius
Published: (2025)
by: Buhai, Rares-Darius
Published: (2025)
Consistent Group selection using Global-local prior in High dimensional setup
by: Paul, Sayantan, et al.
Published: (2023)
by: Paul, Sayantan, et al.
Published: (2023)
The Lasso error is bounded iff its active set size is bounded away from n in the proportional regime
by: Bellec, Pierre C.
Published: (2025)
by: Bellec, Pierre C.
Published: (2025)
Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination
by: Yoshida, Tsukasa, et al.
Published: (2025)
by: Yoshida, Tsukasa, et al.
Published: (2025)
Sharp phase transitions in high-dimensional changepoint detection
by: Xiang, Daniel, et al.
Published: (2024)
by: Xiang, Daniel, et al.
Published: (2024)
Detecting non-uniform patterns on high-dimensional hyperspheres
by: Jiang, Tiefeng, et al.
Published: (2025)
by: Jiang, Tiefeng, et al.
Published: (2025)
Similar Items
-
Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
by: Zhou, Shuheng, et al.
Published: (2023) -
Semidefinite programming on population clustering: a local analysis
by: Zhou, Shuheng
Published: (2023) -
Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
by: Amorino, Chiara, et al.
Published: (2024) -
Semidefinite programming relaxations and debiasing for MAXCUT-based clustering
by: Zhou, Shuheng
Published: (2024) -
Kronecker sum covariance models for spatio-temporal data
by: Zhou, Shuheng, et al.
Published: (2025)