A partial information decomposition for discrete and continuous variables.
Kyle Schick-PolandAbdullah MakkehAaron J. GutknechtPatricia WollstadtAnja SturmMichael WibralPublished in: CoRR (2021)
Keyphrases
- continuous variables
- partial information
- discrete variables
- incomplete information
- dynamic systems
- bayesian networks
- mixed integer
- random variables
- binary variables
- structure learning
- computationally expensive
- hidden variables
- convex hull
- routing problem
- autonomous agents
- dynamical systems
- orders of magnitude
- maximum likelihood
- upper bound
- state space
- probability distribution
- cooperative