Abstract
The distribution of the grid points at which a response function is observed in longitudinal or functional data applications is often informative and not independent of the response process. In this paper we introduce a covariation model to estimate and make inferences about this interrelation, by treating the data as replicated realizations of a marked point process. We derive maximum likelihood estimators, the asymptotic distribution of the estimators, and study the estimators' behavior by simulation. We apply the model to an online auction data set and show that there is a strong correlation between bidding patterns and price trajectories.
Submitted Version (
Free)
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
