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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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What is the correct bayesian formulation for the zero-truncated Poisson lognormal model?

How can I formulate this model in Bayesian? I would like to use Stan to sample from the posterior $p(\mu,\sigma|\mathbf{x})$ without defining a new distribution. …
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