참고문헌
- Abdi H and Williams LJ (2010). Principal component analysis, Computational Statistics, 2, 433-459. https://doi.org/10.1002/wics.101
- Domingo-Ferrer J, Muralidhar K, and Bras-Amoros M (2021). General confidentiality and utility metrics for privacy-preserving data publishing based on the permutation model, IEEE Transactions on Dependable and Secure Computing, 18, 2506-2517. https://doi.org/10.1109/TDSC.2020.2968027
- Jolliffe IT (1986). Principal Component Analysis, Springer, New York.
- Jolliffe IT and Cadima J (2016). Principal component analysis: A review and recent developments, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374, 20150202.
- Nowok B, Raab GM, and Dibben C (2016). synthpop: Bespoke creation of Synthetic data in R, Journal of Statistical Software, 74, 1-26. https://doi.org/10.18637/jss.v074.i11
- Kim J and Park M-J (2019). Multiple imputation and synthetic data, The Korean Journal of Applied Statistics (written in Korean), 32, 83-97. https://doi.org/10.5351/KJAS.2019.32.1.083
- Kim HJ, Reiter JP, and Karr AF (2018). Simultaneous edit-imputation and disclosure limitation for business establishment data, Journal of Applied Statistics, 45, 63-82. https://doi.org/10.1080/02664763.2016.1267123
- Park M-J, Han J, and Park N (2020). Study on Synthetic Data Generation Methods with Applications to Statistics Korea RDC Data (written in Korean), Statistics Research Institute, Statistics Korea.
- Tipping ME and Bishop CM (1999). Probabilistic principal component analysis, Journal of the Royal Statistical Society Series B: Statistical Methodology, 61, 611-622. https://doi.org/10.1111/1467-9868.00196
- Roweis S (1998). EM algorithms for PCA and SPCA. In M Kearns, M Jordan, and S Solla (Eds), Advances in Neural Information Processing Systems 10: Proceedings of the 1997 Conference (pp. 626-632), The MIT Press.
- Stacklies W, Redestig H, Scholz M, Walther D, and Selbig J (2007) pcaMethods - a bioconductor package providing PCA methods for incomplete data, Bioinformatics, 23, 1164-1167. https://doi.org/10.1093/bioinformatics/btm069
- Wasserman L (2010). All of Statistics, Springer, New York.