Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
the tails are longer that we would get for log-Normal distribution. This is the result of marginalizing over the parameters of the posterior distribution. Let’s see what our 95% confidence would fall into: np.percentile(all_samples[0,:], q=5) 7.160015678405762 The 95% confidence is also remarkably