Likelihood based inference for partially observed renewal processes

DOI10.1016/j.spl.2016.07.002zbMath1375.60132OpenAlexW2462153639MaRDI QIDQ312128

Marie-Colette N. M. van Lieshout

Publication date: 13 September 2016

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://ir.cwi.nl/pub/24683

zbMATH Keywords

state estimationMarkov chain Monte Carlorenewal processsequential point process

Mathematics Subject Classification ID

Non-Markovian processes: estimation (62M09) Renewal theory (60K05)

Related Items (1)

State estimation for aoristic models

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• On the rate of convergence of spatial birth-and-death processes
• Spatiotemporal Prediction for Log-Gaussian Cox Processes
• Handbook of Markov Chain Monte Carlo
• Log Gaussian Cox Processes
• An Introduction to the Theory of Point Processes
• Markovianity in space and time
• Statistical models based on counting processes
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