A new universal resample-stable bootstrap-based stopping criterion for PLS component construction
DOI10.1007/s11222-016-9651-4zbMath1505.62265arXiv1507.01404OpenAlexW2272422834WikidataQ59603381 ScholiaQ59603381MaRDI QIDQ123736
Frédéric Bertrand, Myriam Maumy-Bertrand, Jérémy Magnanensi, Nicolas Meyer, Nicolas Meyer, Frédéric Bertrand, Myriam Maumy-Bertrand, Jérémy Magnanensi
Publication date: 22 September 2016
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1507.01404
Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)
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Cites Work
- The Degrees of Freedom of Partial Least Squares Regression
- A new universal resample-stable bootstrap-based stopping criterion for PLS component construction
- PLS generalised linear regression
- Bootstrapping regression models
- Estimating the dimension of a model
- Bootstrap methods: another look at the jackknife
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
- Iteratively Reweighted Partial Least Squares Estimation for Generalized Linear Regression
- PLS Dimension Reduction for Classification with Microarray Data
- A new look at the statistical model identification
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