Conjugate prior

Conjugate priors simplify Bayesian updating

Conjugate priors are a mathematical convenience that simplifies the process of Bayesian updating. They allow for closed-form expressions of the posterior distribution, avoiding the need for numerical integration.

Example

If the likelihood function is binomial and the prior is also binomial, the posterior remains binomial, demonstrating the concept of conjugate priors.

Remember this

Understanding conjugate priors is crucial for efficiently performing Bayesian analysis in many practical applications.

Text adapted from Wikipedia, licensed under CC BY-SA 4.0.

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