Joint variable selection of both fixed and random effects for Gaussian process-based spatially varying coefficient models.
Jakob A. DambonFabio SigristReinhard FurrerPublished in: Int. J. Geogr. Inf. Sci. (2022)
Keyphrases
- variable selection
- gaussian process
- spatially varying
- model selection
- random effects
- linear models
- gaussian processes
- cross validation
- hyperparameters
- bayesian framework
- latent variables
- hidden markov models
- prior knowledge
- feature selection
- probabilistic model
- approximate inference
- noisy images
- training data
- dimension reduction
- machine learning
- regression model
- feature extraction