A Poisson observation model represents a nonnegative count as conditionally Poisson with a mean supplied by an underlying process or regression model.
A Poisson observation is an integer-valued count modeled by a Poisson distribution of specified intensity, possibly conditionally on a latent field. Independent Poisson observations motivate Poisson data fidelity through their log-likelihood.

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  1. Poisson distribution
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