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3 papers
Model-based Clustering of Multi-Dimensional Zero-Inflated Counts via the EM Algorithm
Zahra AghahosseinaliShirazi, Pedro A. Rangel, Camila P. E. de Souza
Zero-inflated count data arise in various fields, including health, biology, economics, and the social sciences. These data are often modelled using probabilistic distributions suc…
BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data
Ana Carolina da Cruz, Camila P. E. de Souza
Change-point models deal with ordered data sequences. Their primary goal is to infer the locations where an aspect of the data sequence changes. In this paper, we propose and imple…
Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles
Gabriel Franco, Camila P. E. de Souza, Nancy L. Garcia
Understanding electrical energy demand at the consumer level plays an important role in planning the distribution of electrical networks and offering of off-peak tariffs, but obser…