Support vector machine (SVM) is a popular classification technique which classifies data using a max-margin separator hyperplane. The normal vector and bias of the mentioned hyperplane is determined by solving a quadratic model implies that SVM training confronts by an optimization problem. Among of the extensions of SVM, cost-sensitive scheme refers to a model with multiple costs which conside...

Background/Aims: There is a growing interest regarding the effect of differential misclassification on power and type I error rate in genome-wide association studies. We present an extension of a previously published test statistic: the likelihood ratio test allowing for errors ( LRT AE ). This test uses double-sample information on a subset of individuals to increase power for genetic associat...

This paper considers a network formation model when links are potentially misclassified. We focus on game-theoretical of strategic with incomplete information, in which the linking decisions depend agents’ exogenous attributes and endogenous characteristics. In presence link misclassification, we derive moment conditions that characterize identified set for preference parameters associated homo...

Boffetta et al. (1) claim smoking misclassification only has a minimal effect, of 1.01–1.02, on the lung cancer risk associated with spousal smoking, which they estimate from their multicenter study as 1.16. The bias is probably much larger and could explain most of the excess risk. In 1996, we (2) estimated the effect that misclassification bias had on spousal risk estimates from five U.S. stu...