Max-Linear Regression by Convex Programming

We consider the multivariate max-linear regression problem where the model parameters <inline-formula> <tex-math notation="LaTeX"> {\beta }_{1},\dotsc, {\beta }_{k}\in \mathbb {R}^{p} </tex-math></inline-formula> need to be estimated from <inline-formula> <...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 70; no. 3; pp. 1897 - 1912
Main Authors:	Kim, Seonho, Bahmani, Sohail, Lee, Kiryung
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Adaptation models Algorithms Complexity Complexity theory Computational modeling convex programming Convexity Empirical analysis empirical processes Estimation Mathematical programming max-linear model Nonlinear regression Optimization Parameters Partitioning algorithms Programming Regression analysis Regression models sample complexity Statistical analysis
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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