-
Track 1
-
Machine Learning /Artificial Intelligence for editing and imputation
-
Modernisation of data editing and statistical production
-
Use of administrative data for editing and imputation
-
Quality
-
Imputation (for ‘Covid-19 mass nonresponse‘) and variance
-
Use of Deep Learning on Big Data and synchronize it with editing and imputation
-
Statistical data editing and pre-processing of new digital data for statistical purposes
-
Infrastructure needed for open source statistical data editing packages
-
Selection bias and statistical data editing
-
Missing prices and outlying price data
-
New and emerging methods