The search for viable eBusiness models continues. But important information is being overlooked. Discussions of open source software all too often focus on the limited context of Microsoft appearing to feel threatened by what it portrays as unbusinesslike competition from Linux and OpenOffice.org; whereas that debate is merely one small facet of the whole. Moreover, in addition to software, a g...

This paper gives a selective review on the recent developments of nonparametric and semiparametric panel data models. We focus on the conventional panel data models with one-way error component structure, partially linear panel data models, varying coe¢ cient panel data models, nonparametric panel data models with multi-factor error structure, and nonseparable nonparametric panel data models. F...

In the learning and recognition methods we introduced till now, we have not made strong assumptions about the data: Nearest neighbor, SVM, distance metric learning, normalization and decision trees do not explicitly assuming distributional properties of the data; PCA and FLD are optimal solutions under certain data assumptions, but they work well in many other situations too; parametric probabi...

This paper presents a consistent Generalized Method of Moments (GMM) residuals-based test of functional form for time series models. By relating two moments we deliver a vector moment condition in which at least one element must be nonzero if the model is misspecified. The test will never fail to detect misspecification of any form for large samples, and is asymptotically chi-squared under the ...

Existing studies of the effects of college quality on earnings typically rely on a single proxy variable for college quality. This study questions the wisdom of this approach given that a single proxy likely measures college quality with substantial error. We begin by considering the parameter of interest and its relation to the parameter estimated in the literature; this analysis reveals the p...

This paper presents a speaker recognition method which makes use of auditory features and polynomial classifier for speaker recognition. Auditory features based on an auditory periphery model extract significant speaker characteristics. Polynomial classifier has been used to accomplish speaker recognition task. Polynomial classifier has several advantages over the conventional classifiers such ...