Robust and sparse multinomial regression in high dimensions

Author:

Kurnaz Fatma SevinçORCID,Filzmoser Peter

Funder

TUBITAK

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference21 articles.

1. Alfons A, Croux C, Gelper S (2013) Sparse least trimmed squares regression for analyzing high-dimensional large data sets. Ann Appl Stat 7(1):226–248

2. Castilla E, Ghosh A, Martin N, Pardo L (2018) New robust statistical procedures for polytomous logistic regression models. Biometrics 74(4):1282–1291

3. Cawley G, Talbot N, Girolami M (2006) Sparse multinomial logistic regression via bayesian L1 regularisation. Adv Neural Inf Process Syst 19:209–216

4. Clemmensen L, Hastie T, Witten D, Ersbøll B (2011) Sparse discriminant analysis. Technometrics 53(4):406–413

5. Development Core Team, R (2021) R Foundation for Statistical Computing Vienna Austria. https://www.R-project.org/

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