A sparse additive model for high-dimensional interactions with an exposure variable.
Sahir R. BhatnagarTianyuan LuAmanda LovatoDavid L. OldsMichael S. KoborMichael J. MeaneyKieran O'DonnellArcher Y. YangCelia M. T. GreenwoodPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- high dimensional
- additive model
- sparse data
- monte carlo simulation
- linear model
- low dimensional
- data points
- dimensionality reduction
- high dimensional data
- nearest neighbor
- similarity search
- sparse coding
- feature space
- additive models
- high dimensionality
- microarray data
- parameter space
- manifold learning
- variable selection
- data sets
- kernel function
- multi dimensional
- gene expression data
- constrained optimization
- metric space
- noisy data
- machine learning