On the inclusion of bivariate marked point processes in graphical models

DOI10.1007/s00184-006-0110-7zbMath1433.62052OpenAlexW2038447720MaRDI QIDQ745532

Anna Gottard

Publication date: 14 October 2015

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-006-0110-7

zbMATH Keywords

marked point processesduration modelsevent history datachain graph models

Mathematics Subject Classification ID

Applications of graph theory (05C90) Exact distribution theory in statistics (62E15) Graphical methods in statistics (62A09)

Related Items (3)

Monotone dependence in graphical models for multivariate Markov chains ⋮ Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach ⋮ The dynamic chain event graph

Uses Software

• MIM

Cites Work

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• Graphical models for associations between variables, some of which are qualitative and some quantitative
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• Association measures for durations in bivariate hazard rate models
• Dynamic modelling and causality
• Graphical Models for Marked Point Processes Based on Local Independence
• Introduction to Graphical Modelling
• Estimation of Dependence Between Paired Correlated Failure Times in the Presence of Covariate Measurement Error
• Composable Markov processes
• Statistical models based on counting processes

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