- Chair: Marianne Clausel ()
The number of complex infrastructures in an industrial setting
is growing and is not immune to unexplained recurring events
such as breakdowns or failure that can have an economic and
environmental impact. To understand these phenomena, sensors
have been placed on the different infrastructures to track, monitor,
and control the dynamics of the systems. The causal study of these
In human sciences, mediation refers to a causal phenomenon in which the effect of an exposure variable 𝑋 on an outcome 𝑌 can be decomposed into a direct effect and an indirect effect via a third variable 𝑀 (called mediator variable).
In mediation models, the natural direct effects and the natural indirect effects are among the parameters of interest. For this model, we construct different...
We address in this study the problem of learning a summary causal graph between time series. To do so, we first propose a new temporal mutual information measure defined on a window-based representation of time series that can detect the independence and the conditional independence between two time series. We then show how this measure can be used to derive orientation rules under the...