Stochastic Localization via Iterative Posterior Sampling.
Louis GreniouxMaxence NobleMarylou GabriéAlain Oliviero DurmusPublished in: CoRR (2024)
Keyphrases
- metropolis hastings
- markov chain monte carlo
- monte carlo
- posterior distribution
- sampling algorithm
- point processes
- jump diffusion process
- proposal distribution
- probabilistic model
- random sampling
- iterative process
- accurate localization
- sampling strategies
- sampling strategy
- probability distribution
- parameter estimation
- markov chain monte carlo methods
- localization error
- source localization
- bayesian framework
- simultaneous localization and mapping
- stochastic optimization
- stochastic processes
- particle filtering
- generative model
- importance sampling
- object localization
- particle filter
- least squares
- multi class
- hidden markov models
- posterior probability