This question is about intuition more than the actual lines of code. Consider the normal linear regression setup as follows: data { int<lower=1> D; int<lower=1> N; matrix[N, D] X; vector[N] Y; } parameters { real a; vector[D] b; real<lower=0> s; } model { vector[N…

Bayesian parallels of weighted regression

martinmodrak Split this topic July 29, 2021, 6:54am 13

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