In this paper, we propose deep partial least squares for the estimation of high-dimensional nonlinear instrumental variable regression. As a precursor to flexible neural network architecture, our methodology uses dimension reduction and feature selection from set instruments covariates. A central theoretical result, due Brillinger (2012) Selected Works Daving Brillinger. 589-606, shows that pro...

New properties of latent root regression are shown aiding insight into the determination of a prediction model. Moreover, a procedure for the determination of a prediction model is discussed. It has similarities to partial least squares and di,er from the latter method only in the way components used as predictors are formed. This procedure is extended to the case where the problem at hand conc...

In this paper, we present a system that automatically generates caricatures from input face images. From example caricatures drawn by an artist, our caricature system learns how an artist draws caricatures. In our approach, we decouple the process of caricature generation into two parts, i.e., shape exaggeration and texture style transferring. The exaggeration of a caricature is accomplished by...

This study presents a conceptual model to investigate the e-health readiness required by healthcare organization and the impact of such readiness in enhancing e-health transformation success. A scale to measure e-health readiness was developed and validated; then it was used to collect the large-scale survey data. The partial least squares (PLS) method was used to empirically test the conceptua...

Electronic health records (EHRs) have been proposed as a sustainable solution for improving the quality of medical care. This study investigates how EHR use, as implemented and utilized, impacts patient safety and quality performance. Data in this paper include nonfederal acute care hospitals in the state of Texas, and the data sources include the American Hospital Association, the Dallas Fort ...

In a very competitive mobile telecommunication business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this paper fo...