Zhimeng Sun, Hansheng Wang, NETWORK IMPUTATION FOR A SPATIAL AUTOREGRESSION MODEL WITH INCOMPLETE DATA, Statistica Sinica, Vol. 30, No. 3 (2020), pp. 1419-1436 ...

Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's ...

In this white paper, Bloomberg researchers show the applicability of deep latent variable models (DLVMs) in ESG datasets, outperforming classical imputation models as well as classical predictive ...