Computational Statistics in Python
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Computational Statistics in Python
1–9 of 9 posts
Re: Computational Statistics in Python
#2Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.
Re: Computational Statistics in Python
#3Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.
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...
Re: Computational Statistics in Python
#4Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.
Really? a huge volume of material was released and you question the effort due to typos? it says version 0.1 at the top.
Re: Computational Statistics in Python
#5Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.
"Makes me wonder how much effort was put into this."
There, fixed that for you. I don't wonder because I can clearly see how much effort was put into it and also decided not too be a jerk.
Re: Computational Statistics in Python
#6Looks nice, but skimming through it I saw loads of typos. Makes you wonder how much effort was put into this.
Really? a huge volume of material was released and you question the effort due to typos? it says version 0.1 at the top.
"Using bootstrap to esitmate confidenc intervals for pcoin
Interval etsimate of parameter."
Re: Computational Statistics in Python
#7Anybody 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.
Re: Computational Statistics in Python
#8Anybody 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……
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!
Re: Computational Statistics in Python
#9Anybody 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……
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...