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alexanderetz.com | ||
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jaketae.github.io
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| | | | | So far on this blog, we have looked the mathematics behind distributions, most notably binomial, Poisson, and Gamma, with a little bit of exponential. These distributions are interesting in and of themselves, but their true beauty shines through when we analyze them under the light of Bayesian inference. In today's post, we first develop an intuition for conditional probabilities to derive Bayes' theorem. From there, we motivate the method of Bayesian inference as a means of understanding probability. | |
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errorstatistics.com
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| | | | | Stephen Senn Head, Methodology and Statistics Group, Competence Center for Methodology and Statistics (CCMS), Luxembourg Delta Force To what extent is clinical relevance relevant? Inspiration This note has been inspired by a Twitter exchange with respected scientist and famous blogger David Colquhoun. He queried whether a treatment that had 2/3 of an effect that would... | |
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andrewjaffe.net
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ideonexus.com
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| | | [AI summary] The article argues that the term 'Dark Ages' is politically incorrect and biased, suggesting that the Middle Ages were not culturally backward but rather a period of theological flourishing and scientific progress, despite a perceived gap in recorded discoveries. | ||
