Models for point processes observed with noise
含噪声观测的点过程模型
Consider a pair of point processes, X and Y, where X is regarded as a 'true' point process and Y is an imperfect observation of X. For the transformation from X to Y, we consider a number of disturbance mechanisms covering random thinning, displacement, censoring of the displaced points and superposition of extra points. We present the conditional likelihood of Y given X. When both point processes are observed the likelihood may be used for inference about the disturbance…