In part two of this series I discussed Bayesian inference. Specifically, I discussed how Bayesian inference provided us with a mechanism for deciding in what we should place our confidence given all the information we possess and will yet obtain. This was all framed in the context of confidence. I’d like to discuss an alternative way of looking at Bayesian inference – namely optimization.















