L0-regularized learning for high-dimensional additive hazards regression

Zemin Zheng, Jie Zhang, Yang Li

Year of publication:	2022
Authors:	Zheng, Zemin ; Zhang, Jie ; Li, Yang
Published in:	INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 5, p. 2762-2775
Subject:	global and local optimizers \| high-dimensional features \| L0-regularized learning \| model selection consistency \| primal dual active sets \| survival data analysis \| Theorie \| Theory \| Lernprozess \| Learning process \| Regressionsanalyse \| Regression analysis \| Mikroökonometrie \| Microeconometrics

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1287/ijoc.2022.1208 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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