Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...

In finance, data is often incomplete because the data is unavailable, inapplicable or unreported. Unfortunately, many classical data analysis techniques — for instance, linear regression — cannot ...

The Bureau of Labor Statistics expanded its use of a technique to fill in gaps in inflation data it wasn’t able to collect through traditional methods, adding to concerns about the agency’s ability to ...