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02/26/2023
Semi-supervised Gaussian mixture modelling with a missing-data mechanism in R
Semi-supervised learning is being extensively applied to estimate classi...
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02/02/2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Sparse linear models are a gold standard tool for interpretable machine ...
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02/25/2022
Familial Inference
Statistical hypotheses are translations of scientific hypotheses into st...
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05/25/2021
Group selection and shrinkage with application to sparse semiparametric modeling
Sparse regression and classification estimators capable of group selecti...
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05/17/2020
Robust subset selection
The best subset selection (or "best subsets") estimator is a classic too...
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07/29/2018