Bayesian Inference of Stochastic Dynamical Networks.
Yasen WangJunyang JinJorge M. GonçalvesPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- statistical inference
- particle filter
- gibbs sampler
- weighted model counting
- hierarchical bayesian
- variational bayes
- social networks
- hidden variables
- probabilistic modeling
- variational inference
- monte carlo
- data sets
- network structure
- machine learning
- graphical models
- state space
- prior distribution
- reinforcement learning