The beta distribution is a conjugate prior for a binomial likelihood function, so it makes posterior probability calculations trivial: you simply add your data to the distribution parameters. If you start with a beta(α, β) prior distribution on a proportion θ, then observe s successes and f failures, the posterior distribution on θ is beta(α +

John D. Cook Consulting Blog

28.08.2025

Why are CUDA kernels hard to optimize?

AI-generated GPU kernels are a popular topic. We examine difficulties of optimizing code for GPUs and challenges in general-purpose optimized GPU libraries.

John D. Cook Consulting Blog

28.08.2025

Riemann's differential equation a P-symbol, P for Papperitz

Riemann's P-symbol is an intriguing/intimidating piece of notation. It denotes a solution to a very important class of differential equations.

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John D. Cook Consulting Blog

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More on seed phrase words

You can’t have everything you want: beta edition

Why are CUDA kernels hard to optimize?

Riemann's differential equation a P-symbol, P for Papperitz

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