Penalized Estimating Equations
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Publication:3079084
DOI10.1111/1541-0420.00015zbMath1210.62016OpenAlexW2115190665WikidataQ52016359 ScholiaQ52016359MaRDI QIDQ3079084
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1541-0420.00015
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Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Estimating equations with nuisance parameters: Theory and applications
- Asymptotic Statistics
- The Variable Selection Problem
- A Statistical View of Some Chemometrics Regression Tools
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
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