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01/17/2023
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR)
Relating a set of variables X to a response y is crucial in chemometrics...
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07/23/2019
Sparse Regularization for Mixture Problems
This paper investigates the statistical estimation of a discrete mixing ...
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03/15/2018
Maxiset point of view for signal detection in inverse problems
This paper extends the successful maxiset paradigm from function estimat...
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01/10/2018
Optimal functional supervised classification with separation condition
We consider the binary supervised classification problem with the Gaussi...
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11/04/2014
