Towards derandomising Markov chain Monte Carlo.
Weiming FengHeng GuoChunyang WangJiaheng WangYitong YinPublished in: CoRR (2022)
Keyphrases
- markov chain monte carlo
- markov chain
- parameter estimation
- monte carlo
- generative model
- posterior distribution
- bayesian inference
- approximate inference
- particle filter
- posterior probability
- data association
- markov chain monte carlo sampling
- simulated annealing
- graphical models
- particle filtering
- regression model
- gaussian process
- machine learning
- model selection
- maximum likelihood
- probabilistic model