17.9 Chapter summary

• $Y_{ij}|\beta_j, \sigma_y \sim N(\mu_{ij}, \sigma²_y)$ : regression model within group $j$

• $\beta_j|\beta, \sigma \sim N(\beta, \sigma^2)$ : variability in regression parameters between group

• $\beta, \sigma_y, \sigma, ... \sim ...$ priors models on global parameters

Either we go with a random intercepts models or we use a random intercepts and slopes model.