Tag Archives: distributions

Leonardo da Vinci’s ability to embrace uncertainty, ambiguity, and paradox was a critical characteristic of his genius. —J Michael Gelb Say you want to use a mathematical metaphor, but you don’t want to be really precise. Here are some ways … Continue reading

Image | Posted on by | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment

Autocorrelation

A “truly” random, uniform random, completely random sequence might look like ◯◯⨯◯⨯⨯⨯⨯◯◯⨯◯◯⨯⨯◯⨯◯◯⨯⨯◯⨯⨯◯⨯◯◯⨯◯R code: > xooooo = sample( c(“◯”, “⨯”) , 30, rep = T)  like the flips of a fair coin. But there are other “random”s as well. Biased For example, … Continue reading

Posted in Uncategorized | Tagged , , , , , , , , , , , , , , | Leave a comment

Leonardo da Vinci’s ability to embrace uncertainty, ambiguity, and paradox was a critical characteristic of his genius. —J Michael Gelb Say you want to use a mathematical metaphor, but you don’t want to be really precise. Here are some ways … Continue reading

Image | Posted on by | Tagged , , , , , , , , , , , , , , , | Leave a comment

Tumblr Likes

Look at just the first digit and the number of digits. science: 32914, 11566, 4989, 3743, 968, 814, 673, 482, 286, 2811 black and white: 1694, 1167, 1108, 988, 919, 639, 596, 591, 580, 544 lol: 22627, 18100, 17688, 14374, 13459, 12045, … Continue reading

Posted in Uncategorized | Tagged , , , , , , , , , , , , , , | Leave a comment

In this paper an exhaustive characterization of financial markets was given. Dependence: Autocorrelation in returns if largely insignificant. (Exceptions being at the tick level and annual returns.) Distribution: Approximately symmetric, increasingly positive kurtosis as the time interval decreases and a … Continue reading

Image | Posted on by | Tagged , , , , , , , , , , , , , , , | Leave a comment