Prediction of the Nash through penalized mixture of logistic regression models

DOI10.1214/20-AOAS1409zbMath1477.62318OpenAlexW3000522162MaRDI QIDQ2245174

Marie Morvan, Madison Giacofci, Valérie Monbet, Emilie Devijver

Publication date: 15 November 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-aoas1409

zbMATH Keywords

predictionvariable selectionheterogeneous dataspectrometry datamixture regression model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• flexmix
• glasso

Cites Work

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