Moved in and stole food from orientation. Wow my hands are typing.
Did some reading to refresh my knowledge on the language of probability. After that, I learned about randomness extractors and spent some time getting familiar with the NIST randomness test suite.
Periklis suggested trying to compare different tests to see which ones perform better. I had an insight on the weekend that statistical tests effectively select a subset of elements to mark as “non-uniform”. In this sense, all the tests function equivalently up to significance level. Thus to find a better test, I’m going to have to scrap the direction of individual statistical tests altogether.
Didn’t read too many papers in depth this week. Next week I’ll focus on learning about distribution testing, and understanding some of the existing results about hypothesis testing.
Also, I cooked (literally).
