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dm13450.github.io | ||
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poissonisfish.com
Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... |
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freerangestats.info
I look at some unusual data where the median was higher than the mode, and show how to model it in Stan as a mixture of two negative binomial distributions. |
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www.huber.embl.de
If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. |
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fa.bianp.net
The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ... |
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