Quantum Bayesian inference for parameter estimation using quantum generative model.
Hiroshi OhnoPublished in: Quantum Inf. Process. (2023)
Keyphrases
- parameter estimation
- generative model
- bayesian inference
- probabilistic model
- em algorithm
- expectation maximization
- markov chain monte carlo
- maximum likelihood
- hyperparameters
- hidden variables
- mixture model
- random fields
- bayesian framework
- prior distribution
- least squares
- statistical models
- parameter estimation algorithm
- conditional random fields
- markov random field
- posterior distribution
- model selection
- parameter learning
- bayesian model
- posterior probability
- variational inference
- markov networks
- graphical models
- topic models
- gaussian mixture model
- gibbs sampling
- prior knowledge
- hierarchical bayesian
- likelihood function
- prior information
- latent dirichlet allocation
- particle filter
- pairwise
- structure learning
- conditional probabilities
- data mining
- video sequences
- computer vision