Being fond of non-parametrics, I have an instinctive dislike of Gaussian models (maybe because they are overused by people who don't know statistics).

Q: So why might one be satisfied with the Gaussian model, while knowing that it is very wrong (e.g. if you know the truth should be a skewed, fat-tailed distribution, e.g. a power-law distributionA ( Read more... )