Spline-Based Semiparametric Sieve Maximum Likeli- hood Method for Over-dispersed Panel Count Data

Abstract

In this article we propose to analyze over-dispersed panel count data using a Gamma-Frailty nonhomogeneous Poisson process model. Conditional on a Gamma distributed frailty variable, the cumulative count, N (t), is assumed to follow a nonhomogeneous Poisson process. Cubic B-spline functions are used to approximate the logarithm of the baseline mean function… (More)

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Cite this paper

@inproceedings{Hua2011SplineBasedSS, title={Spline-Based Semiparametric Sieve Maximum Likeli- hood Method for Over-dispersed Panel Count Data}, author={Lei Hua and Ying Zhang}, year={2011} }