The important role of finite mixture models in the statistical analysis of data is underscored
by the ever-increasing rate at which articles on mixture applications appear in the statistical …

Handbook of Regression Methods concisely covers numerous traditional, contemporary,
and nonstandard regression methods. The handbook provides a broad overview of …

Estimating the number of components in finite mixture models via the Group-Sort-Fuse
procedure Page 1 The Annals of Statistics 2021, Vol. 49, No. 6, 3043–3069 https://doi.org/10.1214/21-AOS2072 …

An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of
Bayesian inference which is well-known to be more accurate in many real-world problems …

This chapter presents some of the Bayesian solutions to the different interpretations of
picking the “right” number of components in a mixture, before concluding on the ill-posed …

ABSTRACT A fundamental problem in network analysis is clustering the nodes into groups
which share a similar connectivity pattern. Existing algorithms for community detection …

The problem of model selection is considered for the setting of interpolating estimators,
where the number of model parameters exceeds the size of the dataset. Classical …

Overall energy consumption has expanded over the previous decades because of rapid
population, urbanization and industrial growth rates. The high demand for energy leads to …

Emerging evidence suggests that adequate intake of omega-3 polyunsaturated fatty acids (n-
3 PUFAs), which include docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) …