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lookingatdata.blogspot.com
| | easystats.github.io
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| | [AI summary] The article explains credible intervals in Bayesian statistics, comparing them to frequentist confidence intervals, discussing their computation methods (HDI, ETI, SI), and their implications for interpreting statistical results.
| | apoorvasrinivasanblog.com
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| | [AI summary] This blog post introduces the concept of hypothesis testing in statistics, explaining its purpose, key components, and steps to conduct a hypothesis test using an example about coffee and height.
| | aurimas.eu
2.9 parsecs away

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| | a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing.
| | jxmo.io
27.3 parsecs away

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| A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.