Mnemonic for closed-form Bayesian univariate inference with Gaussians

The following note helps me remember the closed-form solution for Bayesian inference using Gaussian distributions, which comes in handy very often. See Bishop p.98 (2.141 and 2.142) for closed-form parameter updates for univariate Bayesian inference using a Gaussian likelihood with conjugate Gaussian prior. Let’s start with the rule for the …

On Bayesian likelihood

Calculating pi with Monte Carlo simulation

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