Bayesian Model Averaging and Regularized Regression as Methods for Data-Driven Model Exploration, with Practical Considerations

Bayesian Model Averaging and Regularized Regression as Methods for Data-Driven Model Exploration, with Practical Considerations

Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven testing, if they want to explore the best predicti...

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Bibliographic Details
Main Author: Hyemin Han
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Stats
Subjects:
data-driven analysis
model exploration
variable selection
Bayesian Model Averaging
regularized regression
LASSO
Online Access:https://www.mdpi.com/2571-905X/7/3/44
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