Variable selection for single-index varying-coefficients models with applications to synergistic \(\mathrm{G} \times \mathrm{E}\) interactions
DOI10.1214/23-EJS2117MaRDI QIDQ2689605
Mingtao Zhao, Shunjie Guan, Yuehua Cui
Publication date: 13 March 2023
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2209.00541
variable selectionoracle propertysingle-index varying-coefficients modelsynergistic \(\mathrm{G} \times \mathrm{E}\) interaction
Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Interacting random processes; statistical mechanics type models; percolation theory (60K35)
Cites Work
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- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Variable selection for single-index varying-coefficient model
- Penalized least squares for single index models
- Forward selection and estimation in high dimensional single index models
- Bayesian estimation and variable selection for single index models
- Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
- Estimating the dimension of a model
- Additive varying-coefficient model for nonlinear gene-environment interactions
- B spline variable selection for the single index models
- Variable selection for the partial linear single-index model
- BS-SIM: an effective variable selection method for high-dimensional single index model
- Single-index model selections
- A unified variable selection approach for varying coefficient models
- Estimation and variable selection in partial linear single index models with error-prone linear covariates
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Adaptive Varying-Coefficient Linear Models
- A Statistical View of Some Chemometrics Regression Tools
- Residual information criterion for single-index model selections
- Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline
- Varying Index Coefficient Models
- Partial linear varying multi-index coefficient model for integrative gene-environment interactions
- Robust Estimation in Generalized Partial Linear Models for Clustered Data
- Variable selection and estimation for partially linear single-index models with longitudinal data
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