2 papers
stat.ME2023
A Complete Characterisation of Structured Missingness
James Jackson, Robin Mitra, Niels Hagenbuch +2
Our capacity to process large complex data sources is ever-increasing, providing us with new, important applied research questions to address, such as how to handle missing values…
stat.ML2023
Learning from data with structured missingness
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti +17
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. H…