Jeffreys prior

Jeffreys prior is a type of probability that is used in Bayesian statistics. It's a way of assigning probabilities to new information or ideas without having any existing data. It's kind of like taking a guess based on what we already know about a situation. Basically, Jeffreys prior is a way to measure the likelihood of something happening without knowing much about it. It's like playing a game of "guess the odds" and trying to figure out the most likely outcome.