Comparison between Highly Complex Location Models and GAMLSS

Comparison between Highly Complex Location Models and GAMLSS

This paper presents a discussion regarding regression models, especially those belonging to the location class. Our main motivation is that, with simple distributions having simple interpretations, in some cases, one gets better results than the ones obtained with overly complex distributions. For i...

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Bibliographic Details
Main Authors: Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renan J. Carvalho, Lucas A. Vieira, Carlos A. B. Pereira
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
beyond mean regression
distributional regression
parsimony principle
regression models
smoothing functions
Online Access:https://www.mdpi.com/1099-4300/23/4/469

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https://www.mdpi.com/1099-4300/23/4/469

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