LAUSR

Robust rank-based variable selection in double generalized linear models with diverging number of parameters under adaptive Lasso

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0 Published in 2019 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1607346

Abstract: ABSTRACT We propose a robust rank-based estimation and variable selection in double generalized linear models when the number of parameters diverges with the sample size. The consistency of the variable selection procedure and asymptotic properties… read more here.

Keywords: robust rank; rank based; selection; variable selection ... See more keywords

Robust Rank-Constrained Sparse Learning: A Graph-Based Framework for Single View and Multiview Clustering.

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1 Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3067137

Abstract: Graph-based clustering aims to partition the data according to a similarity graph, which has shown impressive performance on various kinds of tasks. The quality of similarity graph largely determines the clustering results, but it is… read more here.

Keywords: constrained sparse; robust rank; rank constrained; graph ... See more keywords