Bayesian Statistics, Data, Data Science, Statistics, Machine Learning.
samples chains = chain_mh + chain_hmc + chain_gibbs chains = chains[1000:end, :, :] # Compute the posterior mean and standard deviation μ_posterior_mean = mean(chains[:μ]) σ_posterior_mean = mean(chains[:σ]) # Predict the cuteness score of a new pet new_pet_score = rand(Normal(μ_posterior_mean,