On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression
Author:
Affiliation:
1. Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan
2. Department of Mathematics, Graduate School of Science, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan
Funder
Japan Society for the Promotion of Science
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2024.2370914
Reference26 articles.
1. A new look at the statistical model identification
2. Bai Z. D.Y. Fujikoshi and J. Hu 2018. Strong consistency of the AIC BIC Cp and KOO methods in high-dimensional multivariate linear regression. TR No. 18-09 Statistical Research Group Hiroshima University Higashi-Hiroshima Japan.
3. Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions
4. Multivariate Calibration
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