Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models.
Martin KleinBimal SinhaPublished in: J. Priv. Confidentiality (2015)
Keyphrases
- synthetic data
- finite sample
- multivariate normal
- linear regression models
- sample size
- real world
- statistical learning theory
- data sets
- bayesian networks
- least squares
- nearest neighbor
- regression analysis
- neural network
- feature extraction
- training set
- probabilistic model
- covariance matrix
- error bounds
- uniform convergence