PairGP: Gaussian process modeling of longitudinal data from paired multi-condition studies.
Michele VantiniHenrik MannerströmSini RautioHelena AhlforsBrigitta StockingerHarri LähdesmäkiPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- gaussian process
- gaussian processes
- bayesian modeling
- gaussian process models
- regression model
- gaussian process regression
- bayesian framework
- dynamical models
- hyperparameters
- semi supervised
- model selection
- latent variables
- data mining
- approximate inference
- dynamical model
- supervised learning
- covariance function
- upper bound
- prior knowledge
- prior information
- closed form
- latent space
- expectation propagation