Bayesian Structural Equation Modeling: Explained and Applied to Educational Science

Structural equation modeling (SEM) is frequently used in social sciences to analyze relations among observed and latent variables and test theoretical propositions regarding relations among these latent variables. Frequentist SEM relies on Maximum Likelihood Estimation, and although this method works well for many simple situations, its...

Precedence Probability Penalised Nonparametric Maximum Likelihood Estimation with Interval-Censored Data

Many algorithms have been developed over the years to compute the nonparametric maximum likelihood estimate (NPMLE) for the cumulative distribution function of event times under interval censoring. The effective support of the NPMLE can be reduced to a set of disjoint so-called maximal intersection intervals. One feature of the NPMLE that is...