Questions tagged [prior]
In Bayesian statistics a prior distribution formalizes information or knowledge (often subjective), available before a sample is seen, in the form of a probability distribution. A distribution with large spread is used when little is known about the parameter(s), while a more narrow prior distribution represents a greater degree of information.
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Specifying conditional probabilities in hybrid Bayesian networks
I am trying to get a deeper understanding of the various types of Bayesian networks.
Most of the literature/lectures I've come across use discrete random variables exclusively and only mention ...
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Updating a beta-binomial
Suppose I'm modeling a set of processes using a beta-binomial prior. I can build parameterized beta-binomial models that average over large groups of the processes to give reasonable, although coarse, ...
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Eliciting priors from experts
How should I elicit prior distributions from experts when fitting a Bayesian model?
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