Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method.
Mira KattwinkelPeter ReichertPublished in: Environ. Model. Softw. (2017)
Keyphrases
- monte carlo method
- markov chain
- markov chain monte carlo
- posterior distribution
- gibbs sampler
- monte carlo
- transition probabilities
- bayesian learning
- transition matrix
- bayesian framework
- parameter estimation
- finite state
- latent variables
- genetic algorithm
- posterior probability
- mathematical models
- probability distribution
- prior distribution
- bayesian inference
- random fields
- model selection
- state space
- bayesian networks
- hyperparameters
- incomplete data
- learning machines
- computational models
- support vector