-penalized linear mixed-effects models for high dimensional data with application to BCI.
Siamac FazliMárton DanóczyJürg SchelldorferKlaus-Robert MüllerPublished in: NeuroImage (2011)
Keyphrases
- high dimensional data
- mixed effects
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- linear model
- variable selection
- dimension reduction
- high dimensionality
- high dimensions
- data points
- random effects
- data sets
- subspace clustering
- linear models
- high dimensional spaces
- probabilistic model
- manifold learning
- model selection
- data analysis
- least squares
- euclidean distance
- brain computer interface
- linear discriminant analysis
- input data
- neural network