Factor Analyzer

Factor analysis is a statistical method used to uncover latent factors underlying observed variables, aiming to reduce data dimensionality and reveal underlying structure. Current research emphasizes robust factor analysis models, particularly those handling heavy-tailed or contaminated data, with advancements in algorithms like bilinear factor analysis and Bayesian approaches using skew-normal distributions. These improvements enhance the applicability of factor analysis to diverse high-dimensional datasets, such as images and network data, improving model accuracy and enabling applications in areas like outlier detection and network analysis.