Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
reason is very simple: when fitting the data to the distribution shape we pick the most likely parameters μμ and σσ. This approach, however easy it is, always results in short tails, especially for the small amount of data we possess. Indeed, the parameters of the log-normal distribution can be