Source: wikibot/variational-bayesian-methods

= Variational Bayesian methods
{wiki=Variational_Bayesian_methods}

Variational Bayesian methods are a class of techniques in Bayesian statistics that approximate complex probability distributions, particularly in scenarios where exact inference is intractable. These methods transform the difficult problem of calculating posterior distributions into a more manageable optimization problem. \#\#\# Key Concepts: 1. **Bayesian Inference**: In Bayesian statistics, we often want to compute the posterior distribution of parameters given observed data.