Recently, advances in machine learning have led to the development of deep latent variable models (DLVMs), a deep-learning approach to statistical modeling that has the capacity to capture these ...

By combining statistical modelling with machine learning innovations, researchers are now able to address large-scale and high-dimensional datasets more effectively, making imputation not only a ...

A new AI review outlines 2025 strategies to fix missing traffic data in smart cities using structure- and learning-based ...

To address these difficulties, this paper develops a probabilistic record linkage methodology that combines machine learning (ML) with multiple imputation (MI). This ML-MI methodology is applied to ...

They proposed a GUIDE piecewise-constant regression tree as an alternative as it does not require imputation and can handle large numbers of variables. Little (2020) questioned the generality of their ...