Top all-time · #20452
Isaac Slavitt
Personal blog · isaacslavitt.comdataprogramming
Isaac Slavitt's personal blog at isaacslavitt.com covers data and programming. Since 2015, 3 different Hacker News readers have linked it 4 times. No feed was found, so read it on the site itself.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN readers link Isaac Slavitt's blog as a companion exposition of the German tank problem and Bayesian estimation. One commenter cites it as a similar treatment to the submitted post.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
What Hacker News says?
Given the praise for Bayesian methods here, I'm surprised the author didn't discuss the Bayesian solution. See http://isaacslavitt.com/2015/12/19/german-tank-problem-with-... for a similar exposition.
Comment linking /2015/12/19/german-tank-problem-with-pymc-and-pystan/
on “The German Tank Problem”Submitted SciPy 2016: “Data Science is Software” tutorial as a story · 148 points
HN discussionit's not. set aside for a moment the prose description, find an MH module in your language of choice and study the code then play around w/ it in the REPL. A couple of things will probably surprise you when you look at an MCMC implementation (either MH or Gibbs): (i) very compact (eg, MH ~ 40 loc in python; 120 in scala; Gibbs ~10 lines in python, ~40 in scala); and (ii) the primary data structures are ones you prob…
Comment linking /2013/12/30/metropolis-hastings-and-slice-sampling/
on “Markov Chain Monte Carlo for Bayesian Inference – The Metropolis Algorithm”Submitted Speeding up non-vectorizable code with Cython as a story · 37 points
HN discussion