Spatially relaxed inference on high-dimensional linear models.
Jérôme-Alexis ChevalierTuan-Binh NguyenBertrand ThirionJoseph SalmonPublished in: Stat. Comput. (2022)
Keyphrases
- linear models
- variable selection
- high dimensional
- additive models
- linear model
- dimensionality reduction
- low dimensional
- gaussian processes
- probabilistic inference
- high dimensionality
- linear regression
- bayesian networks
- nonlinear models
- cross validation
- causal relationships
- dimension reduction
- bayesian inference
- data points
- feature space
- data sets
- topic models
- nearest neighbor
- multi class
- image sequences