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 weisser-zwerg.dev
Monte Carlo: Fundamental Concepts
| | cyclostationary.blog
SPTK: Random Variables - Cyclostationary Signal Processing
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| | Our toolkit expands to include basic probability theory.
| | tiao.io
A Primer on Pólya-gamma Random Variables - Part II: Bayesian Logistic Regression | Louis Tiao
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| | One weird trick to make exact inference in Bayesian logistic regression tractable.
| | isaacslavitt.com
Isaac Slavitt: Dirichlet-multinomial model for Skittle proportions
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| | easystats.github.io
Credible Intervals (CI) ? bayestestR
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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.