Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data
Author:
Funder
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
https://link.springer.com/content/pdf/10.1007/s11336-023-09918-5.pdf
Reference33 articles.
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3. Bair, E., Hastie, T., Paul, D., & Tibshirani, R. (2006). Prediction by supervised principal components. Journal of the American Statistical Association, 101, 119–137.
4. Berrendero, J. R., Justel, A., & Svarc, M. (2011). Principal components for multivariate functional data. Computational Statistics and Data Analysis, 55(9), 2619–2634.
5. Cai, T., Cai, T. T., & Zhang, A. (2016). Structured matrix completion with applications to genomic data integration. Journal of the American Statistical Association, 111(514), 621–633.
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