A constraint optimization approach to causal discovery from subsampled time series data.
Antti HyttinenSergey M. PlisMatti JärvisaloFrederick EberhardtDavid DanksPublished in: Int. J. Approx. Reason. (2017)
Keyphrases
- constraint optimization
- causal discovery
- causal models
- causal relationships
- discovery process
- causal structure
- constraint satisfaction problems
- constraint programming
- branch and bound search
- directed acyclic graph
- bayesian networks
- constraint networks
- constraint satisfaction
- conditional independence
- data mining
- databases
- space complexity
- evaluation function
- heuristic search
- random walk
- dynamic programming
- special case
- support vector