Preconditioned Bayesian Regression for Stochastic Chemical Kinetics.
Alen AlexanderianFrancesco RizziMuruhan RathinamOlivier P. Le MaîtreOmar M. KnioPublished in: J. Sci. Comput. (2014)
Keyphrases
- sparse bayesian learning
- chemical reaction
- chemical reactions
- gaussian processes
- relevance vector machine
- monte carlo sampling
- simple linear
- regression model
- dirichlet process mixture
- bayesian learning
- monte carlo
- stochastic model
- regression algorithm
- iterative methods
- regression analysis
- bayesian networks
- nonlinear regression
- bayesian inference
- data driven
- model selection
- drug discovery
- regression method
- partial least squares
- experimental data
- linear regression
- bayesian decision
- support vector regression
- gauss markov random fields
- bayesian estimation
- monte carlo methods
- regression function
- ridge regression
- stochastic programming
- regression methods
- reproducing kernel hilbert space
- regression problems
- posterior distribution
- posterior probability
- maximum likelihood
- markov random field