How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos
Christopher C. StrelioffJames P. CrutchfieldPublished in: CoRR (2006)
Keyphrases
- bayesian inference
- genetic algorithm and simulated annealing
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- variational bayes
- gibbs sampler
- statistical inference
- hierarchical bayesian
- variational inference
- markov chain monte carlo
- probabilistic modeling
- particle filter
- weighted model counting
- neural network
- hidden variables
- dynamical systems
- variational approximation
- gaussian process
- data sets
- prior distribution
- expectation propagation