wiki/machine-learning/bayesian/latent-variable-models.md

The state space model is an important category of models for sequential data such as time series

In an inference problem, $p(z\vert x)$, which is used to infer $z$ from $x$. $$ p(z\vert x) = …

ELBO is an very important concept in variational methods

Kullback–Leibler divergence indicates the differences between two distributions

Reparametrize the sampling distribution to simplify the sampling

To generate complicated distributions step by step from a simple and interpretable distribution.