11 citations · 11 across the 3 of their papers we have counts for
3 papers
Variational Autoencoded Multivariate Spatial Fay-Herriot Models
Zhenhua Wang, Paul A. Parker, Scott H. Holan
Small area estimation models are essential for estimating population characteristics in regions with limited sample sizes, thereby supporting policy decisions, demographic studies,…
Echo State Networks for Spatio-Temporal Area-Level Data
Zhenhua Wang, Scott H. Holan, Christopher K. Wikle
Spatio-temporal area-level datasets play a critical role in official statistics, providing valuable insights for policy-making and regional planning. Accurate modeling and forecast…
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Zhenhua Wang, Olanrewaju Akande, Jason Poulos +1
Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of…