Seminar by Angelo Vulpiani
Zoom - January 18, 2022 - 15.00
WEBINAR LINK
Title: Understanding causation via linear response theory
Abstract: In spite of the (correct)
common-wisdom statement correlation
does not imply causation, a proper
employ of time correlations and of
fluctuation-response theory allows us
to understand the causal relations
between the variables of a
multidimensional linear Markov
process. It is shown that the
fluctuation-response formalism can be
used both to find the direct causal
links between the variables of a
system and to introduce a degree of
causation, cumulative in time, whose
physical interpretation is
straightforward. Although for generic
nonlinear dynamics there is no simple
exact relationship between
correlations and response functions,
the described protocol can still give
a useful proxy also in the presence
of weak nonlinear terms. This
approach can be used for a critical
analysis of paleoclimate data.
Slides
-- Related works:
[1],
[2]