lecture-python-intro
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[heavy_tail] Editorial Suggestions
Comments by @mbek0605:
Content
- [x] Check into
yf.downloadand put it in its own cell block andhide-output - [x] Update figures and images to be numbered
- [x] Overlay a
normaldistribution on top of thereturnspicture before19.1.4 - [x] Should we use
rank-sizeplot ofqqplot? to show CCDF - [x] See if there is a statistical test for power laws and perhaps write a
seealsoresource. Can you test for aparetodistribution? (Note: This has been moved to https://github.com/QuantEcon/meta/issues/141)
Comments
- [x] Further explain the intuition behind equation
19.4work?
Comments by @SylviaZhaooo:
Content
- [x] Add a paragraph to the introduction (@SylviaZhaooo);
- [x] Overlaying the normal distribution with the heavy-tailed distribution;
- [x] Give a road map to motivate why we need to go into the details of CCDF and all the distributions.
- [x] Number graphs, give some explanation, and refer figures in text.
- [x] Be more specific when we say 'we will show ... below' by giving the section/example hyperlinks directly.