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Degrees of freedom for nonlinear least squares estimation

Penalized maximum likelihood estimation for generalized linear point processes

A framework where the linear predictor of a generalized linear point process is parametrized by a Banach space leading to results on Gateaux differentiability of the log-likelihood.

Aspects of Algebraic Statistics: Prediction, algorithms, and geometry

A note on stochastic context-free grammars, termination and the EM-algorithm

Termination of a stochastic context-free grammar, i.e. almost sure finiteness of the random trees it produces, is shown to be equivalent to extinction of an embedded multitype branching process. We show that the maximum likelihood estimator in a …