// Normal linear regressions with varying // priors for sigma to assess // the influence of the prior for sigma data { int n; vector[n] y; vector[n] x; vector[2] cauchypar; // parameters of cauchy distribution } parameters { real beta0; real beta1; real sigma; } model { //priors beta0 ~ normal(0,5); beta1 ~ normal(0,5); sigma ~ cauchy(cauchypar[1], cauchypar[2]); // likelihood y ~ normal(beta0 + beta1 * x, sigma); }