From Probability concepts explained: Bayesian inference for parameter estimation. by Jonny Brooks-Bartlett

*y are call*…ian prior distribution with a Gaussian likelihood function, I’ll get a Gaussian posterior function. The fact that the posterior and prior are both from the same distribution family (they are both Gaussians) means that they are called **conjugate distributions.** In this case the prior distribution is known as a **conjugate prior.**