Bias reduction and model selection in misspecified models
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Publication:6106226
DOI10.1080/03610926.2021.1959613OpenAlexW3189585881MaRDI QIDQ6106226
Publication date: 27 June 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1959613
Cites Work
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- Nearly unbiased variable selection under minimax concave penalty
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- Estimating the dimension of a model
- Model selection with data-oriented penalty
- Minimization of discontinuous cost functions by smoothing
- Matrix Analysis
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sparse Estimation of Generalized Linear Models (GLM) via Approximated Information Criteria
- Bias reduction of maximum likelihood estimates
- Model Selection Principles in Misspecified Models
- Maximum Likelihood and Minimum | chi 2 Estimates of the Logistic Function
- Maximum Likelihood Estimation of Misspecified Models