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entropicthoughts.com
| | www.countbayesie.com
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| | Learn about Discrete and Continuous probability distributions as well as the types of questions that they can both answers. This post also discusses the relationship between the Binomial and Beta distributions.
| | poissonisfish.com
7.2 parsecs away

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| | 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...
| | jaberkow.wordpress.com
6.2 parsecs away

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| | Lately I have been making use of a continuous relaxation of discrete random variables proposed in two recent papers: The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables and Categorical Reparameterization with Gumbel-Softmax. I decided to write a blog post with some motivation of the method, as well as providing some minor clarification on...
| | fharrell.com
25.4 parsecs away

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| [AI summary] This post by Frank Harrell explores how to translate a compound symmetric correlation structure in longitudinal data into first- and fifth-order Markov model semiparametric regression approaches, and examines how including lagged variables affects random effects in a Bayesian mixed model.