Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler.
Thomas YuMarco PizzolatoGabriel GirardJonathan Rafael-PatinoErick Jorge Canales-RodríguezJean-Philippe ThiranPublished in: IPMI (2019)
Keyphrases
- parameter estimation
- markov chain monte carlo
- neural network
- posterior distribution
- maximum likelihood
- least squares
- gibbs sampling
- model selection
- markov random field
- reversible jump markov chain monte carlo
- em algorithm
- approximate inference
- expectation maximization
- parameter values
- random fields
- gibbs sampler
- bayesian model selection
- generative model
- prior knowledge
- machine learning