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in Bayesian inference we can model prior knowledge using prior distribution. There is a lot of information available on how to construct flat or weakly informative priors, but I cannot find good...
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I'm modelling count variables with a fixed number of trials, hence a binomial problem. The data is overdispersed, and in this case, overdispersion plays a crucial role. In the past, I fitted a...
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Response time (RT) measures are ubiquitous in experimental psychology. It is well-known that RT rarely fulfills the assumptions of ordinary linear models: the residual distribution typically is...
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