High-dimensional regression with ordered multiple categorical predictors
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Publication:6627300
DOI10.1002/sim.8400zbMATH Open1546.62327MaRDI QIDQ6627300
Lei Huang, Unnamed Author, Yue Chao
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Estimation of semivarying coefficient time series models with ARMA errors
- Estimating the dimension of a model
- Heuristics of instability and stabilization in model selection
- Least angle regression. (With discussion)
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Censored rank independence screening for high-dimensional survival data
- Polytomous logistic regression
- Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Identification of Non-Linear Additive Autoregressive Models
- Sparsity and Smoothness Via the Fused Lasso
- A Statistical View of Some Chemometrics Regression Tools
- Regression models with ordered multiple categorical predictors
- Regression Analysis of Count Data
- Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
- Penalized regression with ordinal predictors
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