Kev**











 


 


 





































data {

  int <lower = 1> N; // Sample size

  vector[N] x; // Predictor

  vector[N] y; // Outcome

}

parameters {

  real alpha; // Intercept

  real beta; // Slope (regression coefficients)

  real <lower = 0> sigma; // Error SD

}

model {

  y ~ normal(alpha + x*beta , sigma);

}


Today I Learned - Bayesian Statistics
Today I Learned - Bayesian Statistics
Today I Learned - Bayesian Statistics

Today I Learned - Bayesian Statistics