Posterior convergence for Bayesian functional linear regression.
Heng LianTaeryon ChoiJie MengSeongil JoPublished in: J. Multivar. Anal. (2016)
Keyphrases
- linear regression
- posterior distribution
- posterior probability
- least squares
- probability distribution
- regression methods
- regression problems
- bayesian networks
- linear regression model
- bayesian framework
- probabilistic model
- linear models
- ridge regression
- markov chain monte carlo
- locally weighted
- nonlinear regression
- latent variables
- predictor variables
- prior distribution
- convergence rate
- generative model
- maximum likelihood
- generalized linear models
- regression trees
- regression method
- bayesian inference
- multivariate regression
- kernel density estimators
- gaussian process
- square loss