Text-based personality computing (TPC) has gained many research interest...
Text embedding models from Natural Language Processing can map text data...
A potentially powerful method of social-scientific data collection and
i...
Electronic health records (EHRs) contain structured and unstructured dat...
Clustering consists of a popular set of techniques used to separate data...
Fair inference in supervised learning is an important and active area of...
Combining data from varied sources has considerable potential for knowle...
Latent variable models are well-known to suffer from rank deficiencies,
...
Structural equation modeling (SEM) is evolving as available data is beco...
Social and behavioral scientists are increasingly employing technologies...
Binary data latent class models crucially assume local independence,
vio...