Posterior Distribution
Definition
The posterior distribution is the conditional distribution of the latent variables given the observed data:
$$p(z \mid x) = \frac{p(x \mid z)p(z)}{p(x)}$$What it means in Q1
After observing match results, the posterior describes which skill configurations are plausible.