Comonotonic latent variables are introduced into general factor models, in order to allow non-linear transformations of latent factors, so that various multivariate dependence structures can be captured. Through decomposing each univariate marginal into several components, and letting some components belong to different sets of comonotonic latent variables, a great variety of multivariate model...

Parametric dummy variable-based tests for event studies using multivariate regression are not robust to nonnormality of the residual, even for arbitrarily large sample sizes. Bootstrap alternatives are described, investigated, and compared for cases where there are nonnormalities, cross-sectional and time series dependencies. Independent bootstrapping of residual vectors from the multivariate r...

Identifying the skills that determine the success or failure to exercises and question items is a difficult task. Multiple skills may be involved at various degree of importance. Skills may overlap and correlate. Slip and guess factors affect item outcome and depend on the profile of the student’s skill mastery and on item characteristics. In an effort towards the goal of finding the skills beh...

Although the questions about the use of improved technologies in developing country agriculture have expanded to include the roles of policies, institutions and infrastructure, most micro-level adoption studies can not address these important policy issues. Drawing on an extensive review of the literature on the adoption of agricultural technologies, this paper suggests alternative approaches f...

In this paper; we propose a TV control system for aged and bedridden people. We have been constructing the interface, which changes TV channels and operate volume controls using pose recognition. However; users were required to wear the short-sleeved shirt to recognize the poses by using the skin color regions as arms. To allow the long sleeve for users, we improve our system to introduce the r...

This paper provides new empirical evidence that price-based technical indicator variables can enhance the ability of accounting variables in explaining cross-sectional stock returns. We apply both OLS and state-space modelling to a sample of firms included in the Russell 3000 index over the period from 1999-2012 to compare the roles of the two main types of information typically used by stock i...

Matrix factorization techniques are widely used to build collaborative filtering recommender systems. These recommenders aim at discovering latent variables or attributes that are supposed to explain and ultimately predict the interest of users. In cognitive modeling, skills and competencies are considered as key latent attributes to understand and assess student learning. For this purpose, Tat...

Inductive Logic Programming (ILP) has been applied to learn rules which characterise protein folds. Several representations for the background set have been explored and the results have been interpreted in their biological context. In this paper, we present new results obtained with a background set containing information about protein topology. The new rules are more descriptive than the prev...