Bayesian Inference on the Memory Parameter for Gamma-Modulated Regression Models.
Plinio AndradeLaura RifoSoledad TorresFrancisco Torres-AvilésPublished in: Entropy (2015)
Keyphrases
- bayesian inference
- regression model
- linear model
- probabilistic model
- prior information
- hyperparameters
- regression methods
- model selection
- gaussian process
- regression analysis
- variational inference
- hierarchical bayesian
- generalized linear models
- markov networks
- bayesian model
- hidden variables
- regression trees
- software effort
- markov chain monte carlo
- multiple linear regression
- maximum likelihood
- interval valued data
- multivariate regression
- explanatory variables
- cross validation
- training data
- particle filter