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.
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