Every continuous first order autoregressive stochastic process is a Gaussian process.
Friedrich LiesePublished in: Kybernetika (1992)
Keyphrases
- autoregressive
- stochastic process
- gaussian process
- dynamical model
- non stationary
- random fields
- model selection
- hyperparameters
- regression model
- bayesian framework
- approximate inference
- latent variables
- stochastic processes
- higher order
- sar images
- markov random field
- cross validation
- image processing
- semi supervised
- sample size
- pairwise
- stochastic model
- reinforcement learning
- multiscale