APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification.
Li Ang ZhangAlisa UrbanoGilles ClermontDavid SwigonIpsita BanerjeeRobert S. ParkerPublished in: Comput. Chem. Eng. (2018)
Keyphrases
- markov chain monte carlo
- parameter identification
- parameter estimation
- markov chain
- generative model
- bayesian inference
- posterior distribution
- monte carlo
- posterior probability
- closed loop
- particle filter
- markov chain monte carlo sampling
- approximate inference
- simulated annealing
- particle filtering
- data association
- markov random field
- probability distribution
- neural network
- graphical models
- bayesian framework
- latent variables
- least squares
- hyperparameters
- control system
- image processing
- computer vision