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Timo Koski: On probabilistic sufficient cause models of interaction

Time: Wed 2019-05-08 13.00 - 14.00

Location: Room B705, Department of Statistics, Stockholm University

Participating: Timo Koski, KTH

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Abstract: Sufficient-component cause models postulate a set of different causal mechanisms, each sufficient to bring about a potential outcome, which is binary in this seminar. These are understood as minimal sets of actions, events or states of nature which together initiate a process resulting in the outcome. Thus each sufficient cause is hypothesized to consist of a set of binary component causes. Whenever all components of a particular sufficient cause are present the outcome occurs. We present a probabilistic sufficient-component cause model in the sense of Ramsahai (J. Royal Stat. Soc. B 2013) using a network of causes, where interaction is determined by Boolean functions. This is joint work with Daniel Berglund (KTH) .