Our method provides a novel approach to effective and efficient estimation of classification parameters as validation data accrue.

Background: The nearest neighbor model and associated dynamic programming algorithms allow for the efficient estimation of the RNA secondary structure Boltzmann ensemble.

FARMA model captures the fractal and long term correlated nature of the backscattered speckle texture and facilitates robust efficient estimation of fractal parameters.

Previous work has assumed a parametric distribution for Y given X and derived semiparametric efficient estimation and inference without any distributional assumptions about X.

Efficient estimation of parameters is a major objective in analyzing longitudinal data.