def get_prior_hybrid(self): prior = zip(self.mu_mcmc1, [geom_mean(i) for i in self.sigma_mcmc1]) a = self.mu_mcmc1[2] prior[2] = (0.5*a,2*a) return prior
def get_prior_norm(self): prior = zip(self.mu_mcmc1, [geom_mean(i) for i in self.sigma_mcmc1]) return prior