One of Bayes' theorem's many applications is Bayesian inference, an approach to statistical inference, where it is used to invert the probability of observations given a model configuration (i.e., the likelihood function) to obtain the probability of the model configuration given the observations (i.e., the posterior probability).
One of Bayes' theorem's many applications is Bayesian inference an approach to statistical inference where it is used to invert the probability of observations given a model configuration (ie the likelihood function) to obtain the probability of the model configuration given the observations (ie the posterior probability)