Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo.
Amedeo Roberto EspositoMarco MondelliPublished in: CoRR (2024)
Keyphrases
- error bounds
- markov chain monte carlo
- markov chain
- parameter estimation
- generative model
- monte carlo
- posterior distribution
- markov chain monte carlo sampling
- bayesian inference
- approximate inference
- theoretical analysis
- posterior probability
- worst case
- particle filter
- data association
- particle filtering
- simulated annealing
- computational complexity
- machine learning
- bayesian framework
- support vector
- prior information
- least squares
- message passing
- object tracking
- probability distribution
- probabilistic model
- prior knowledge
- markov random field
- graphical models
- model selection