Graphical Models for Marked Point Processes Based on Local Independence

DOI10.1111/j.1467-9868.2007.00634.xOpenAlexW3125685581MaRDI QIDQ3631454

Vanessa Didelez

Publication date: 10 June 2009

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0710.5874

zbMATH Keywords

Granger causalitycounting processesconditional independencemultistate modelsevent history analysisgraphoid

Mathematics Subject Classification ID

Statistics (62-XX)

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Uses Software

• MIM

Cites Work

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• Probabilistic causality in longitudinal studies
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• Long memory continuous time models
• Dynamic modelling and causality
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• Probabilistic Networks and Expert Systems
• Introduction to Graphical Modelling
• Causal Reasoning from Longitudinal Data*
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Noncausality in Continuous Time
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods
• Graphical Models for Composable Finite Markov Processes
• Composable Markov processes
• Statistical models based on counting processes
• Graphical interaction models for multivariate time series.