Search Results for author:
Found 2 papers, 0 papers with code
Reproducing Kernels and New Approaches in Compositional Data Analysis
Compositional data, such as human gut microbiomes, consist of non-negative variables whose only the relative values to other variables are available.
Sparse Functional Linear Discriminant Analysis
Inspired by the success of $\ell_1$-type regularization at inducing zero coefficients for scalar variables, we develop a new regularization method for functional linear discriminant analysis that incorporates an $L^1$-type penalty, $\int |f|$, to induce zero regions.
Methodology
Cannot find the paper you are looking for? You can
Submit a new open access paper.
