Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189: Faming Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., $120.00, ISBN 9780429061189.
Vira AnandaVisi Komala Sari AnisahUtriweni MukhaiyarPublished in: Technometrics (2024)
Keyphrases
- high dimensional data
- high dimensional
- sparse representation
- dimensionality reduction
- nearest neighbor
- low dimensional
- data sets
- high dimensionality
- clustering high dimensional data
- subspace clustering
- data points
- data analysis
- manifold learning
- gene expression data
- input data
- missing values
- high dimensional spaces
- high dimensional datasets
- machine learning
- neural network
- data mining
- database
- bayesian networks
- conditional independence
- locally linear embedding
- underlying manifold