@book{3d528fc939834f99bfa2f2d2c76a6db6,
title = "State estimation for temporal point processes",
abstract = "This paper is concerned with combined inference for point processes on the real line observed in a broken interval. For such processes, the classic history-based approach cannot be used. Instead, we adapt tools from sequential spatial point processes. For a range of models, the marginal and conditional distributions are derived. We discuss likelihood based inference as well as parameter estimation using the method of moments, conduct a simulation study for the important special case of renewal processes and analyse a data set collected by Diggle and Hawtin.",
keywords = "Markov chain Monte Carlo, Cox process, Sequential point process, State estimation, Renewal process, EWI-26226, MSC-60G55, MSC-62M99, Markov point process, IR-97135, MSC-60K15, METIS-312699",
author = "{van Lieshout}, {Maria Nicolette Margaretha}",
year = "2015",
month = sep,
day = "21",
language = "Undefined",
series = "Memorandum of the Department of Applied Mathematics",
publisher = "University of Twente",
number = "2048",
address = "Netherlands",
}