Sample size determination for high dimensional parameter estimation with application to biomarker identification.
Binyan JiangJialiang LiPublished in: Comput. Stat. Data Anal. (2018)
Keyphrases
- parameter estimation
- sample size
- model selection
- small sample size
- high dimensional
- small sample
- least squares
- cross validation
- maximum likelihood
- structure learning
- markov random field
- hyperparameters
- random sampling
- random fields
- em algorithm
- approximate inference
- upper bound
- regression model
- bayesian networks
- estimation problems
- statistical power
- statistical hypothesis testing
- variable selection
- expectation maximization
- feature space
- parameter estimation algorithm
- data sets
- gene expression data
- covariance matrix
- posterior distribution
- dimensionality reduction
- worst case
- parameter estimates
- image processing
- feature selection
- machine learning