A theory for linear estimators minimizing the variance of the error squared (Corresp.).
Michael K. SainCelso de Renna e SouzaPublished in: IEEE Trans. Inf. Theory (1968)
Keyphrases
- low variance
- variance reduction
- unbiased estimator
- variance estimator
- linear complexity
- error rate
- least squares
- theoretical basis
- error tolerance
- computational model
- bias variance decomposition
- real valued
- theoretical framework
- hypothesis tests
- integral equation
- linear model
- feature selection
- general theory
- error bounds
- von neumann
- euclidean distance
- trade off
- training data