8 citations · 8 across the 4 of their papers we have counts for
4 papers
Is Information Theory Inherently a Theory of Causation?
David Sigtermans
Information theory gives rise to a novel method for causal skeleton discovery by expressing associations between variables as tensors. This tensor-based approach reduces the dimens…
A Partial Information Decomposition Based on Causal Tensors
David Sigtermans
We propose a partial information decomposition based on the newly introduced framework of causal tensors, i.e., multilinear stochastic maps that transform source data into destinat…
Towards a Framework for Observational Causality From Time Series: When Shannon Meets Turing
David Sigtermans
We propose a novel tensor-based formalism for inferring causal structures from time series. An information theoretical analysis of transfer entropy, shows that transfer entropy res…
Transfer Entropy: where Shannon meets Turing
David Sigtermans
Transfer entropy is capable of capturing nonlinear source-destination relations between multi-variate time series. It is a measure of association between source data that are trans…