Data Science, Statistics, Causality, Machine Learning, Analytics.
and x is the vector of latent variables. PPCA assumes the existence of a Gaussian error term ε such that y = Wx + ε. The generative model: As σ² → 0, we get PCA. And if we replace σ²I with a diagonal matrix that allows the diagonal values to vary, we get factor analysis. So: We can estimate the