Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
have exact closed-form solutions for their posterior distributions. One thing that typically helps is choosing simple models, Gaussian likelihood functions and conjugate priors. A prior distribution is said to be conjugate to a likelihood function if the resulting posterior belongs to the same