Bayesian analysis of nonlinear structured latent factor models using a Gaussian Process Prior
基于高斯过程先验的非线性结构化潜因子模型贝叶斯分析
Factor analysis models are widely utilized in social and behavioral sciences, such as psychology, education, and marketing, to measure unobservable latent traits. In this article, we introduce a nonlinear structured latent factor analysis model which is more flexible to characterize the relationship between manifest variables and latent factors. The confirmatory identifiability of the latent factor is discussed, ensuring the substantive interpretation of the latent factors.…