JSTOR Daily

Imputation of Missing Values when the Probability of Response Depends on the Variable Being Imputed

A method is developed for imputing missing values when the probability of response depends upon the variable being imputed. The missing data problem is viewed as one of parameter estimation in a ...
CoinTelegraph

What is data cleaning in machine learning and how to perform it?

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...
EurekAlert!

Machine learning outperforms traditional statistical methods in addressing missing data in electronic health records

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
JSTOR Daily

Estimating Missing Values from the General Social Survey: An Application of Multiple Imputation

Social Science Quarterly, Vol. 88, No. 2 (JUNE 2007), pp. 573-584 (12 pages) Objectives. Most researchers who use survey data must grapple with the problem of how best to handle missing information.
Bloomberg L.P.

Imputation of missing ESG data using deep latent variable models

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 ...