# Profesor bueno nuevo (clase 2)

# Models for continous data.
## Jointly Gaussian distribution
Conditional distribution $p(x1|x2)$, having $x2$ inputed in the formula, when the condition x1|x2 is done, x2 "infects"/propagate x2 through x1 with the cross covariance product ($\Sigma_{12}\Sigma_{22}$)

## variances and predcisions
Hight variances means high uncertainty $\implies$ precision means the variance is really low precision means the variance is really low.

## Linear gaussian system