Identifying optimal sequential decisions

AP Dawid, V Didelez

Research output: Contribution to conferenceConference Paperpeer-review

5 Citations (Scopus)


Abstract: We consider conditions that allow us to find an optimal strategy for sequential decisions from a given data situation. For the case where all interventions are unconditional (atomic), identifiability has been discussed by Pearl & Robins (1995). We argue here that an optimal strategy must be conditional, i.e. take the information available at each decision point into account. We show that the identification of an optimal sequential decision strategy is more restrictive, in the sense that conditional interventions might not always be identified when atomic interventions are. We further demonstrate that a simple graphical criterion for the identifiability of an optimal strategy can be given.
Translated title of the contributionIdentifying optimal sequential decisions
Original languageEnglish
Pages113 - 120
Number of pages8
Publication statusPublished - 2008
Event24th Annual Conference on Uncertainty in Artifical Intelligence - Helsinki, Finland
Duration: 9 Jul 2008 → …


Conference24th Annual Conference on Uncertainty in Artifical Intelligence
Period9/07/08 → …

Bibliographical note

Name and Venue of Event: 24th UAI Conference, Helsinki, Finland
Conference Proceedings/Title of Journal: Proceedings of the 24th UAI Conference
Conference Organiser: Ronald Parr


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