Modelling Experimental Interventions: Results and Challenges

from Concrete Causation · host Jan-Willem Romeijn

In this talk at the LMU workshop "Concrete Causation" (9 July, 2010) Jan-Willem Romeijn (Groningen) discusses probabilistic models of experimental intervention, and shows that such models elucidate the intuition that observations following intervention are more informative than observations per se (due to technical problems about one minute of the recording is skipped)

Episode metadata supplied by the publisher feed · Published Aug 6, 2010

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Modelling Experimental Interventions: Results and Challenges

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