579 citations · 4.8k across the 165 of their papers we have counts for
7 papers · 1 filter
Unique Information and Secret Key Agreement
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
The partial information decomposition (PID) is a promising framework for decomposing a joint random variable into the amount of influence each source variable Xi has on a target va…
A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement
Ryan G. James, Jeffrey Emenheiser, James P. Crutchfield
Recently, the partial information decomposition emerged as a promising framework for identifying the meaningful components of the information contained in a joint distribution. Its…
Multivariate Dependence Beyond Shannon Information
Ryan G. James, James P. Crutchfield
Accurately determining dependency structure is critical to discovering a system's causal organization. We recently showed that the transfer entropy fails in a key aspect of this---…
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…
Infinite Excess Entropy Processes with Countable-State Generators
Nicholas F. Travers, James P. Crutchfield
We present two examples of finite-alphabet, infinite excess entropy processes generated by invariant hidden Markov models (HMMs) with countable state sets. The first, simpler examp…
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…