119 citations · 606 across the 12 of their papers we have counts for
4 papers · 1 filter
Understanding interdependency through complex information sharing
Fernando Rosas, Vasilis Ntranos, Christopher J. Ellison +2
The interactions between three or more random variables are often nontrivial, poorly understood, and yet, are paramount for future advances in fields such as network information th…
Intersection Information based on Common Randomness
Virgil Griffith, Edwin K. P. Chong, Ryan G. James +2
The introduction of the partial information decomposition generated a flurry of proposals for defining an intersection information that quantifies how much of "the same information…
Anatomy of a Bit: Information in a Time Series Observation
Ryan G. James, Christopher J. Ellison, James P. Crutchfield
Appealing to several multivariate information measures---some familiar, some new here---we analyze the information embedded in discrete-valued stochastic time series. We dissect th…
Optimal Causal Inference: Estimating Stored Information and Approximating Causal Architecture
Susanne Still, James P. Crutchfield, Christopher J. Ellison
We introduce an approach to inferring the causal architecture of stochastic dynamical systems that extends rate distortion theory to use causal shielding---a natural principle of l…