The detection of community structures is a very crucial research area. The problem of
community detection has received considerable attention from a large portion of the …

Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that
describes information exchange in a social network. Users in social networks tend to …

Within a Bayesian framework, a comprehensive investigation of mixtures of finite mixtures
(MFMs), ie, finite mixtures with a prior on the number of components, is performed. This …

Scientists and engineers are often interested in learning the number of subpopulations (or
components) present in a data set. A common suggestion is to use a finite mixture model …

The multiple-try Metropolis (MTM) algorithm is an extension of the Metropolis-Hastings (MH)
algorithm by selecting the proposed state among multiple trials according to some weight …

An income distribution describes how an entity's total wealth is distributed amongst its
population. A problem of interest to regional economics researchers is to understand the …

Adaptive variational Bayes: Optimality, computation and applications Page 1 The Annals of
Statistics 2024, Vol. 52, No. 1, 335–363 https://doi.org/10.1214/23-AOS2349 © Institute of …

We propose a one-step procedure to estimate the latent positions in random dot product
graphs efficiently. Unlike the classical spectral-based methods, the proposed one-step …

Reliably learning group structures among nodes in network data is challenging in several
applications. We are particularly motivated by studying covert networks that encode …

In this paper, we develop a group learning approach to analyze the underlying
heterogeneity structure of shot selection among professional basketball players in the NBA …