I wanted to understand how stan understands vector ~ normal(0, real)
(sorry I have a very basic understanding of stan). More precisely,
parameters {
vector[N] a;
}
model {
a ~ normal(0, 1);
}
Does this mean that each dimension of a is independent and normally distributed?