Baysian Statistics I: Bayesian Updating
Assume that the data are coming in sequentially and are independent.
Given an a-priori probability distribution, we can update our beliefs when a new datum comes in by calculating the Maximum A Posteriori (MAP) distribution.
The MAP probability becomes the new prior and the process repeats on each new datum.