A note on partially adaptive estimation via a normal mixture
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Publication:4337185
DOI10.1080/03610929608831758zbMath0875.62307OpenAlexW2031224643MaRDI QIDQ4337185
Publication date: 5 November 1997
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929608831758
Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)
Related Items (1)
Cites Work
- Monte Carlo evidence on adaptive maximum likelihood estimation of a regression
- On adaptive estimation
- Adaptive estimation of regression models via moment restrictions
- Partially adaptive estimation via a normal mixture
- A class of partially adaptive one-step M-estimators for a nonlinear regression model with dependent observations
- Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory
- Bayesian and Non-Bayesian Analysis of the Regression Model with Multivariate Student-t Error Terms
- Asymptotic Properties of Non-Linear Least Squares Estimators
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