Regularized TLS-EM for estimating missing data
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02572-8.pdf
Reference34 articles.
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2. Buck SF (1960) A method of estimation of missing values in multivariate data suitable for use with an electronic computer. J R Stat Soc Ser B 22:302–306
3. Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Ser B 39:1–22
4. Diao H, Wei Y, Xie P (2017) Small sample statistical condition estimation for the total least squares problem. Numer Algorithms 75:435–455
5. Efron B, Hastie T, Johnstone I, Tibshirani R (2004) Least angle regression. Ann Stat 32:407–499
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