Priors

In the context of Bayes's Theorem, Priorspriors refer generically to the beliefs an agent holds regarding a fact, hypothesis or consequence, before being presented with evidence. Upon being presented with new evidence, the agent can multiply their prior with a likelihood distribution to calculate a new (posterior) probability for their belief.

Applied to Believing others' priors by Ruby at 2y
Applied to Learning the prior by Ruby at 2y
Applied to A Priori by Ruby at 2y
Applied to Against improper priors by Ruby at 2y
Applied to Against improper priors by Ruby at 2y
Applied to Cryonics priors by Ruby at 2y
Applied to Priors Are Useless by Ruby at 2y
Applied to Priors and Surprise by Ruby at 2y