A generalized linear mixed cluster-weighted model, capable of handling right-censoring, is developed. An expectation-maximization approach is taken for parameter estimation. The Bayesian information criterion is used for model selection.
Impact
Better understanding benefits data helps to identify groups that are in need of increases to their benefit grants.
Student Experience
This work is the topic of a graduate student thesis (master’s)
