We explore the regional determinants of entrepreneurial activity with latent variables framework in which entrepreneurship is not observed directly, but manifested in activities such as producing patentable innovations, receiving venture funding and establishing new enterprises. We find that R&D expenditures, the presence of anchor firms, good (small) government and the availability of intellec...

In this paper, the authors show that PLS path modeling can be used to assess a hierarchical construct model. They provide guidelines outlining four key steps to construct a hierCarol Saunders was the accepting senior editor for this paper. archical construct model using PLS path modeling. This approach is illustrated empirically using a reflective, fourthorder latent variable model of online ex...

Creativity research has suggested that creative people are low in agreeableness. To explore this issue, we applied the HEXACO model of personality structure, which offers an expanded representation of interpersonal traits, particularly a distinction between Honesty–Humility and Agreeableness. A sample of 1304 adults completed the HEXACO-60 and several measures of creative achievement and activi...

Real-life problems can present several kinds of preferences, and may also contain some uncertain parts. In this paper we focus on problems with both positive and negative totally ordered preferences, and with some uncontrollable variables, which model the uncertainty of the problem. We call such problems uncertain bipolar problems (UBPs). After defining such problems, we propose to handle them ...

We propose an extension of the canonical polyadic (CP) tensor model where one of the latent factors is allowed to vary through data slices in a constrained way. The components of the latent factors, which we want to retrieve from data, can vary from one slice to another up to a diffeomorphism. We suppose that the diffeomorphisms are also unknown, thus merging curve registration and tensor decom...

The latent structure of antisocial personality disorder (ASPD) and psychopathy has been examined using both Meehl’s taxometric method and other latent variable models, yielding results that have not been entirely consistent. However, in each instance, researchers used independent data sets for their analyses, obscuring whether the inconsistent findings resulted from the analytic method or from ...

In this demo we focus on cross-modal (visual and textual) e-commerce search within the fashion domain. Particularly, we demonstrate two tasks: 1) given a query image (without any accompanying text), we retrieve textual descriptions that correspond to the visual attributes in the visual query; and 2) given a textual query that may express an interest in specific visual characteristics, we retrie...

This paper aims to install Latent trait on Association Rule Mining for the semantic analysis of consumer behavior patterns. We adapt Item Response Theory, a famous educational testing model, in order to derive interesting insights from rules by Latent trait. The primary contributions of this paper are fourfold. (1) Latent trait as an unified measure can measure interestingness of derived rules ...

We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model that assumes the expression of observed high-dimensional binary data is driven by a small number of hidden binary sources combined via noisy-or units. The component analysis procedure is equivalent to learning of NOCA par...