2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Generation and analysis of synthetic data via Bayesian networks: a robust approach for uncertainty quantification via Bayesian paradigm
Larissa N. A. Martins, Flávio B. Gonçalves, Thais P. Galletti
Safe and reliable disclosure of information from confidential data is a challenging statistical problem. A common approach considers the generation of synthetic data, to be disclos…
Imputation of missing data using multivariate Gaussian Linear Cluster-Weighted Modeling
Luis Alejandro Masmela-Caita, Thais Paiva Galletti, Marcos Oliveira Prates
Missing data arises when certain values are not recorded or observed for variables of interest. However, most of the statistical theory assume complete data availability. To addres…
Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling
Luis Alejandro Masmela-Caita, Thais Paiva Galletti, Marcos Oliveira Prates
Missing data theory deals with the statistical methods in the occurrence of missing data. Missing data occurs when some values are not stored or observed for variables of interest.…