1 citations · 2 across the 4 of their papers we have counts for
4 papers
Predicting missing values: A good idea?
Stef van Buuren
Minimizing the Mean Squared Error (MSE) is a key objective in machine learning and is commonly used for imputing missing values. While this approach provides accurate point estimat…
CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving
Lucas Elbert Suryana, Farah Bierenga, Sanne van Buuren +6
Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural language explanations.…
Sensitivity analysis for multivariable missing data using multiple imputation: a tutorial
Cattram D Nguyen, Katherine J Lee, Ian R White +2
Multiple imputation is a popular method for handling missing data, with fully conditional specification (FCS) being one of the predominant imputation approaches for multivariable m…
Missing the Point: Non-Convergence in Iterative Imputation Algorithms
Hanne Ida Oberman, Stef van Buuren, Gerko Vink
Iterative imputation is a popular tool to accommodate missing data. While it is widely accepted that valid inferences can be obtained with this technique, these inferences all rely…