When Poisson-count data fall outside the image cone, likelihood maximizers and ML-EM cluster points concentrate on sparse point masses, while inside the cone they retain full support.
Convex optimization
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The ML-EM algorithm in continuum: sparse measure solutions
When Poisson-count data fall outside the image cone, likelihood maximizers and ML-EM cluster points concentrate on sparse point masses, while inside the cone they retain full support.