Computational Statistics in Python

http://people.duke.edu/~ccc14/sta-663/index.html

by jonwachob91 • 11 years ago

74 7 11 years ago

people.duke.edu

arno_v• 11 years ago

Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.

nicolewhite• 11 years ago

The first thing I looked at[1] was missing an entire equation.

"Optimization then amounts to finding the zeros of..."

http://people.duke.edu/~ccc14/sta-663/OptimizationInOneDimen...

lightningstorm• 11 years ago

Really? a huge volume of material was released and you question the effort due to typos? it says version 0.1 at the top.

skinner_• 11 years ago

"Using bootstrap to esitmate confidenc intervals for pcoin Interval etsimate of parameter."

krick• 11 years ago

Anybody knows a book on similar topic with lots of practical examples and exercises? By "practical" I mean that instead of mathematical definition of covariance and example of how to use it in R/Python author would provide us with some real world use case where we're trying to obtain some information about the real world, given some data. Like list of water temperature measurements over the years, number of pirates… you've got the idea.

logancg• 11 years ago

Try ISLR (for learning/prediction-based stats). Probably the best for someone of your level. Incredibly well written, based around examples, reproducible code. The complex parts – the parts where you need math or abstract concepts – are VERY intuitive.

http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Fourth%20Printing....

Free download from the authors, too!

ims• 11 years ago

Cam Davidson-Pilon's "Bayesian Methods For Hackers" is a great resource. It's actually written as a group of IPython notebooks so you can actually download them and play with the cells to really understand what's going on.

Link: https://github.com/CamDavidsonPilon/Probabilistic-Programmin...

Computational Statistics in Python

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