The expectation–maximization (EM) algorithm is a seminal method to calculate the maximum likelihood estimators (MLEs) for incomplete data. However, one drawback of this algorithm is that the asymptotic variance–covariance ...
Chen, Ding-Geng (Din); Chen, Xinguang(University of Chicago Press, 2022)
OBJECTIVE : Methods that are more advanced than conventional mediation analysis are needed in social and behavioral health research to determine causal relationships and evaluate intervention effects and mechanisms. This ...
Mixture of linear experts (MoE) model is one of the widespread statistical frameworks for modeling, classification, and clustering of data. Built on the normality assumption of the error terms for mathematical and computational ...
