Consider a generalized linear model with response Y and scalar predictor X. Instead of observing X, a surrogate W = X + Z is observed where Z represents measurement error and is independent of X and Y. The efficient score test for the absence of association depends on m(w) = E(XIW = w) which is generally unknown (Tosteson and Tsiatis, 1988). Assuming that the distribution of Z is known, asympto...

Corrected score (Nakamura, 1990; Stefanski, 1989) is an important consistent functional modeling method for covariate measurement error in nonlinear regression. Although its pathological behaviors are known to exacerbate with increasing error contamination, neither their nature nor severity is well understood. In this article, we conduct a detailed investigation with the log-linear model for co...

This thesis investigates N-best hypotheses reranking techniques for improving speech recognition accuracy. We have focused on improving the accuracy of a speech recognizer used in a dialog system. Our post-processing approach uses a linear regression model to predict the error rate of each hypothesis from hypothesis features, and then outputs the one that has the lowest (recomputed) error rate....