On Linear Intensity Models for Mixed Doubly Stochastic Poisson and Self-Exciting Point Processes

Abstract

A flexible family of parametric models for intensity processes is introduced to represent a causal relationship between a point process and another stochastic process. Algorithms for the maximum likelihood computation and the procedure of model selection are discussed.