A comparative study on high-dimensional bayesian regression with binary predictors.
Debora SlanziValentina MameliPhilip J. BrownPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- high dimensional
- sparse bayesian learning
- gaussian processes
- regression model
- bayesian networks
- low dimensional
- multi variate
- dimensionality reduction
- relevance vector machine
- similarity search
- linear regression
- high dimensionality
- feature space
- bayesian learning
- high dimensional data
- regression problems
- input space
- generalized linear models
- estimation problems
- neural network
- model averaging
- regression method
- posterior distribution
- model selection
- regression algorithm
- predictor variables
- ridge regression
- non binary
- dirichlet process mixture
- data points
- support vector regression
- comparative study
- multi dimensional
- maximum likelihood
- nonlinear regression
- knn
- nearest neighbor
- least squares
- response variable
- gene expression data
- bayesian methods
- dimension reduction
- posterior probability
- regression methods
- bayesian inference
- variable selection