4 ms·
Highly recommend his blog [1] - where he often writes bite-sized math-y articles. I have personally benefited from it; I was looking for ways to sample quickly
by abhgh 4y ago
Highly recommend his blog [1] - where he often writes bite-sized math-y articles. I have personally benefited from it; I was looking for ways to sample quickly from a mixture of Beta distributions when I stumbled upon his post on the Kumaraswamy distribution [2], which takes on Beta-like shapes but has a closed form expression for the cumulative distribution function (CDF). The latter property makes generating samples from it convenient and fast.
[1] https://www.johndcook.com/blog/ https://www.johndcook.com/blog/
[2] https://www.johndcook.com/blog/2009/11/24/kumaraswamy-distribution/ https://www.johndcook.com/blog/2009/11/24/kumaraswamy-distri...
- jofer 4y agoIn addition to being a great resource on mathematics and scientific computing in general, if you're working in the scientific python ecosystem, his blog (and assorted similar content on twitter/etc) is a must-read. There's often a lot of great scientific python content there too.
- oarabbus_ 4y agoI can't count how many times I'd be looking up a statistical or applied mathematical concept and came across an article he'd written on it. Great resource.
- malshe 4y agoI love his blog. It has wealth of information.
- pixelpoet 4y ago+1, learnt soooo much from it. I have this mentally categorised next to Paul Bourke's website, which was one of the best sources of information in 90s internet: http://paulbourke.net/ http://paulbourke.net/