Modeling missing data in knowledge space theory
Modeling missing data in knowledge space theory is a scholarly work by Debora de Chiusole, published in 2015 in ''Psychological Methods''. The main subjects of the publication include Bayesian network, data mining, statistical inference, Gaussian process, computer science, inference, unobservable entity, missing data, econometrics, artificial neural network, statistics, imputation, mathematics, and missing energy. Missing data are a well known issue in statistical inference, because some responses may be missing, even when data are collected carefully.