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www.rdatagen.net | ||
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fronkonstin.com
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| | | | | Experiment, be curious: though interfering friends may frown, get furious at each attempt to hold you down (Tony Bennett, Experiment) Instructions: Take a pencil and measure it Take a piece of paper and draw parallel lines on it (you can use the pencil, of course); separation between lines should double the length of the pencil Toss the pencil | |
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aosmith.rbind.io
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| | | | | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion. | |
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statsandr.com
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| | | | | Learn when and how to use a (univariable and multivariable) binary logistic regression in R. Learn also how to interpret, visualize and report results | |
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gregorygundersen.com
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| | | [AI summary] Hamiltonian Monte Carlo (HMC) is a Markov Chain Monte Carlo (MCMC) method that leverages Hamiltonian dynamics to generate samples from a probability distribution. Unlike traditional MCMC methods that rely on random walks, HMC introduces auxiliary momenta variables and simulates a physical system to produce correlated samples with higher efficiency. The method uses gradient information of the log density to guide the sampling process, enabling faster exploration of the target distribution and higher acceptance rates. The implementation of HMC involves defining the potential and kinetic energy functions, performing leapfrog integration to approximate the Hamiltonian dynamics, and using the Metropolis-Hastings acceptance criterion. An example using... | ||
