Hierarchically penalized additive hazards model with diverging number of parameters
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Publication:2254832
DOI10.1007/s11425-013-4679-9zbMath1308.62191OpenAlexW1971228600MaRDI QIDQ2254832
Weihua Zhao, Ji-cai Liu, Ri-quan Zhang
Publication date: 6 February 2015
Published in: Science China. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-013-4679-9
oracle propertygroup variable selectionadditive hazards modeldiverging parameterstwo-level selection
Asymptotic properties of parametric estimators (62F12) Estimation in survival analysis and censored data (62N02)
Related Items (2)
Variable selection in partially linear additive hazards model with grouped covariates and a diverging number of parameters ⋮ Adaptive group bridge selection in the semiparametric accelerated failure time model
Cites Work
- The Adaptive Lasso and Its Oracle Properties
- Group variable selection via a hierarchical lasso and its oracle property
- The composite absolute penalties family for grouped and hierarchical variable selection
- Nonconcave penalized likelihood with a diverging number of parameters.
- On the adaptive elastic net with a diverging number of parameters
- Pathwise coordinate optimization
- Covariate Selection for the Semiparametric Additive Risk Model
- Hierarchically penalized Cox regression with grouped variables
- A group bridge approach for variable selection
- Semiparametric analysis of the additive risk model
- Regularization of Wavelet Approximations
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- A Statistical View of Some Chemometrics Regression Tools
- Nonconcave Penalized Likelihood With NP-Dimensionality
- Model Selection and Estimation in Regression with Grouped Variables
- Variable selection for multivariate failure time data
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