In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation ...

The class of species sampling mixture models is introduced as an extension of semiparametric models based on the Dirichlet process to models based on the general class of species sampling priors, or ...

The analysis of social networks and graphs has become increasingly crucial as our understanding of complex systems grows. Modern research has focused on robust sampling techniques that help capture ...