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Comment by antegamisou

3 years ago

For the experts in the thread complaining about the simplicity of the excellent introductory text in the OP, here's an exciting reading for you:

    Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications by Nassim Nicholas Taleb

https://www.amazon.com/Statistical-Consequences-Fat-Tails-Pr...

Beware that it may be way more advanced than what you'd expect though.

The takeaways from NNT’s books are summarized in the top Amazon review. The summary is actually pretty useful and relevant and highlights some of the pitfalls of applying common statistical concepts to fat tailed distributions and the change of mindset that is needed.

We tend to gloss over assumptions like finite variance or iid but they matter a lot for reasoning correctly on fat tailed distributions.

Also the law of large numbers only works if you don’t have a game over scenario or fat tails.

https://www.amazon.com/gp/aw/review/1544508050/RMD3OUG0WQWWY

Personally -- I couldn't get past the first 2 chapters of the book. The notations it introduces are pretty unfamiliar for a newcomer and it quickly becomes really hard to follow. I genuinely would like to hear from somebody who managed to go through the entire book above, and what their main takeaways were (from the chapters that follow the two introductory ones).

The non-technical introduction chapter is pretty easy to follow, and I would recommend reading it.

would you recommend any books/resources before jumping straight to this? Thanks!