Bayesian statistics rely heavily on Monte-Carlo methods. A common question that arises is “isn’t there an easier, analytical solution?” This post explores a bit more why this is by breaking down the analysis of a Bayesian A/B test and showing how tricky the analytical path is and exploring more of the mathematical logic of even trivial MC methods.Read More
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5 Jan 2021 ... Intuitive and fun explorations of common problems in Probability.
The study of probability has been profoundly important in both my professional ...
and the honest answer is: reading. This page is a list of books I've read over ...
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2 May 2016 ... A guide for getting started with Bayesian Statistics! Start your ...
13 Jun 2019 ... In this post we'll explore how we can derive logistic ...
5 Jan 2021 ... In part 2 of our series exploring the relationship between ...
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16 Aug 2020 ... Bayesian statistics rely heavily on Monte -Carlo methods.
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15 Dec 2020 ... This post is the first in a three part series covering the ...
17 Sep 2020 ... Introducing “Hacking Statistics with Python”. I'm very excited ...
12 May 2015 ... Confused by Hypothesis tesing used in A/B Tests? In this post ...
17 Mar 2015 ... What's missing is that we know Han is a badass! C3PO isn't ...
... Data and Advanced Analytics by Ash Tre. Bayesian A/B Testing: A Hypothesis Test that Makes Sense — Count Bayesie Data. Saved from countbayesie.com ...
25 Jun 2020 ... Photo credit: http://www.countbayesie.com. It then became a full length discussion on how to use different priors, different sampling techniques, ...
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