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This distinction, while subtle, is crucial

However, it is important to note that in Kallenberg’s theorem, a point process is defined as a random boundedly finite counting measure, whereas we consider a point process as a random locally finite counting measure · 1973

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Extended feature allocation models

math.ST · 2025-02-14 · conditional · novelty 7.0

A Bayesian point-process framework for feature allocations with dependent labels, with sufficientness postulates characterizing Poisson, mixed Poisson, and mixed binomial priors.

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  • Extended feature allocation models math.ST · 2025-02-14 · conditional · none · ref 2

    A Bayesian point-process framework for feature allocations with dependent labels, with sufficientness postulates characterizing Poisson, mixed Poisson, and mixed binomial priors.