Simulating outcomes of interventions using a multipurpose simulation program based on the Evolutionary Causal Matrices and Markov Chain.
Hyemin HanKangwook LeeFirat SoyluPublished in: CoRR (2017)
Keyphrases
- markov chain
- monte carlo method
- steady state
- monte carlo simulation
- finite state
- transition probabilities
- monte carlo
- stationary distribution
- markov process
- stochastic process
- state space
- random walk
- markov model
- transition matrix
- genetic algorithm
- population size
- state transition
- machine learning
- causal bayesian networks
- markov chain monte carlo
- causal relationships
- hidden markov models
- graphical models
- gibbs sampler
- bayesian networks