Matthieu Lerasle

Finite sample behavior of the maximum likelihood estimator in the Poisson model under Gaussian design

We study the maximum likelihood estimation of the coefficient {\beta} 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 threshold n>d. We...