Bayesian variable selection for Poisson regression with underreported responses.
Stephanie PowersRichard GerlachJames D. StameyPublished in: Comput. Stat. Data Anal. (2010)
Keyphrases
- variable selection
- model selection
- linear models
- bayesian learning
- cross validation
- proportional hazards model
- gaussian processes
- stepwise regression
- input variables
- high dimensional
- regression problems
- regression model
- statistical inference
- hyperparameters
- posterior distribution
- group lasso
- dimension reduction
- relevance vector machine
- high dimensional data
- ls svm
- feature selection
- nearest neighbor
- support vector
- decision trees
- machine learning
- microarray
- logistic regression
- gaussian process
- maximum likelihood
- principal component analysis
- fuzzy logic
- training data
- logistic regression models