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Doing Bayesian Data Analysis
Personal blog · doingbayesiandataanalysis.blogspot.comdatascience
Doing Bayesian Data Analysis is a personal blog at doingbayesiandataanalysis.blogspot.com about data and science. Since 2016, 3 different Hacker News readers have linked it 3 times. It is still writing: the last post was on 2026-01-29, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
Linked posts on Bayesian data analysis, cited in HN threads on moving from frequentist to Bayesian statistics and on A/B testing. The comments do not judge the writing.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
What Hacker News says?
Yes! Here: http://doingbayesiandataanalysis.blogspot.com/2017/02/the-ba...
Comment linking /2017/02/the-bayesian-new-statistics-finally.html
on “Statistical Thinking: My Journey from Frequentist to Bayesian Statistics”> DNA doesn't strike me as a good example. I don't think it was a paradigm shift. > I don't know that I have, really. Sure, some things have changed. But I'm still writing OO code that isn't that different than what I was writing in the late 1980s. Hmm, okay, I think the issue we're hitting here is something like "no true paradigm shift" -- I would have thought that the introduction of, say, the world wide web in th…
Comment linking /2011/07/horses-donkies-and-mules.html
on “On Post-Modernist Philosophy of Science (2000)”The biggest mistake engineers make is determining sample sizes. It is not trivial to determine the sample size for a trial without prior knowledge of effect sizes. Instead of waiting for a fixed sample size, I would recommend using a sequential testing framework: set a stopping condition and perform a test for each new batch of sample units. This is called optional stopping and it is not possible using a classic t-t…
Comment linking /2013/11/optional-stopping-in-data-collection-p.html?m=1
on “Annoying A/B testing mistakes every engineer should know”