Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity.

Ido Nevat Gareth W. Peters Jinhong Yuan

Published in: PIMRC (2008)

Keyphrases

linear models
bayesian inference
computational complexity
variable selection
learning algorithm
nonlinear models
probabilistic model
hyperparameters
linear model
reinforcement learning
dynamic programming
low dimensional
linear regression