A graph Laplacian prior for Bayesian variable selection and grouping.
Sounak ChakrabortyAurelie C. LozanoPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- variable selection
- graph laplacian
- random walk
- spectral clustering
- cross validation
- high dimensional
- weighted graph
- spectral analysis
- euclidean space
- model selection
- basis functions
- kernel machines
- dimension reduction
- prior knowledge
- high dimensional data
- semi supervised learning
- maximum likelihood
- pattern recognition
- dimensionality reduction
- machine learning
- data sets
- bayesian networks