Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Das, Soumojit"'
Autor:
Das, Soumojit, Lahiri, Partha
We propose a Bayesian approach to estimate finite population means for small areas. The proposed methodology improves on the traditional sample survey methods because, unlike the traditional methods, our proposed method borrows strength from multiple
Externí odkaz:
http://arxiv.org/abs/2210.04980
The literature on differential privacy almost invariably assumes that the data to be analyzed are fully observed. In most practical applications this is an unrealistic assumption. A popular strategy to address this problem is imputation, in which mis
Externí odkaz:
http://arxiv.org/abs/2206.15063
Autor:
Das, Soumojit1 (AUTHOR) soumojit@umd.edu, Basu, Atanushasan2 (AUTHOR), Lahiri, Partha1 (AUTHOR), Sengupta, Shreya3 (AUTHOR)
Publikováno v:
Statistical Journal of the IAOS. 2022, Vol. 38 Issue 4, p1325-1335. 11p.
Autor:
Das, Soumojit1 (AUTHOR) soumojit@umd.edu, Basu, Atanushasan2 (AUTHOR), Lahiri, Partha1 (AUTHOR), Sengupta, Shreya3 (AUTHOR)
Publikováno v:
Statistical Journal of the IAOS. 2022, Vol. 38 Issue 4, p1325-1335. 11p.
Publikováno v:
Statistical Journal of the IAOS; 2022, Vol. 38 Issue 4, p1325-1335, 11p