Probabilistic causes in Markov chains.
Christel BaierFlorian FunkeSimon JantschJakob PiribauerRobin ZiemekPublished in: CoRR (2021)
Keyphrases
- markov chain
- steady state
- monte carlo
- finite state
- transition probabilities
- markov processes
- random walk
- markov model
- state space
- stationary distribution
- probabilistic automata
- markov process
- monte carlo simulation
- transition matrix
- stochastic process
- generative model
- confidence intervals
- gibbs sampling
- bayesian networks
- monte carlo method
- objective function
- sample path
- queueing theory
- single server
- reinforcement learning