BayesLands: A Bayesian inference approach for parameter uncertainty quantification in Badlands.
Rohitash ChandraDanial AzamR. Dietmar MüllerTristan SallesSally CrippsPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- inference process
- probabilistic model
- prior information
- hyperparameters
- hierarchical bayesian
- variational bayes
- variational inference
- bayesian model
- statistical inference
- particle filter
- prior distribution
- probabilistic modeling
- prior knowledge
- expectation propagation
- parameter values
- hidden variables
- missing data
- variational approximation
- weighted model counting
- markov chain monte carlo
- outlier detection
- bayesian models
- gibbs sampler
- data sets