Latent variable models

Latent variable models (LVMs) are statistical models that describe relationships between observed variables and one or more unobserved (latent) variables. These latent variables are not directly measurable but are inferred from the observed data. The key idea is that the latent variables encapsulate underlying structures or processes that can explain the relationships among the observed data.