Imputation of missing ESG data using deep latent variable models December 4, 2020 In finance, data is often incomplete because the data is unavailable, inapplicable or unreported.

Missing data are a major hindrance to statistical analysis because standard methods require the missing values to be imputed first. AMELIA and MICE fiare two popular imputation methods, but their ...

Vincent Audigier, Ian R. White, Shahab Jolani, Thomas P. A. Debray, Matteo Quartagno, James Carpenter, Stef van Buuren, Matthieu Resche-Rigon, Multiple Imputation for Multilevel Data with Continuous ...