National Academies of Sciences%2c Engineering%2c and Medicine

Handling Missing Data on the Consumer Expenditure Surveys and Implications for the Consumer ...

The Committee on National Statistics will convene a meeting of experts for the Bureau of Labor Statistics to discuss different approaches for handling missing October and November 2025 Consumer ...
EurekAlert!

Machine learning outperforms traditional statistical methods in addressing missing data in ...

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 ...
Nature

Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate ...

Accurate time series forecasts are crucial for various applications, such as traffic management, electricity consumption, and healthcare. However, limitations in models and data quality can ...
Nature

Benchmarking imputation strategies for missing time-series data in critical care using real ...

Handling missing data remains a central challenge in Intensive Care Units (ICU) time-series analysis, where gaps frequently arise from non-random mechanisms such as sensor disconnections and ...