A research team from the Hong Kong University of Science and Technology (HKUST) has developed a novel AI-powered tool named ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp. 547-564 (18 pages) We introduce a selection model-based multilevel imputation approach to be used ...

Missing data are a major hindrance to statistical analysis because standard methods require the missing values to be imputed first. AMELIA and MICE fiare two popular imputation methods, but their ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

There are data about practically everything these days, and they can be used to try to answer any number of questions. Do clinical trials really show a drug works? Can surveys really signal who’s ...