Interdependency Pattern Recognition in Econometrics: A Penalized Regularization Antidote
When it comes to variable interpretation, multicollinearity is among the biggest issues that must be surmounted, especially in this new era of Big Data Analytics. Since even moderate size multicollinearity can prevent proper interpretation, special diagnostics must be recommended and implemented for...
Main Authors: | Kimon Ntotsis, Alex Karagrigoriou, Andreas Artemiou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Econometrics |
Subjects: | |
Online Access: | https://www.mdpi.com/2225-1146/9/4/44 |
Similar Items
-
Elastic Net Penalized Quantile Regression Model and Empirical Mode Decomposition for Improving the Accuracy of the Model Selection
by: Ali S. A. Ambark, et al.
Published: (2023-01-01) -
Impact of the power of adaptive weight on penalized logistic regression: Application to cancer classification
by: Narumol Sudjai, et al.
Published: (2024-12-01) -
A New Quantile-Based Approach for LASSO Estimation
by: Ismail Shah, et al.
Published: (2023-03-01) -
INVESTIGATING THE IMPACT OF MULTICOLLINEARITY ON LINEAR REGRESSION ESTIMATES
by: Adewoye Kunle Bayo, et al.
Published: (2021-01-01) -
Applying the Geostatistical Eigenvector Spatial Filter Approach into Regularized Regression for Improving Prediction Accuracy for Mass Appraisal
by: Michael McCord, et al.
Published: (2022-10-01)