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Finite sample behavior of the maximum likelihood estimator in the Poisson model under Gaussian design
We study the maximum likelihood estimation of the coefficient β in well-specified Poisson regression. Using tools from empirical process theory and random conic geometry, we show that the probability of existence of the maximum likelihood estimator (MLE) exhibits a sharp phase transition at the thre
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