We introduce the concept of ordinal pattern dependence between time series and show in an explorative study that both types of this dependence show up in real world financial data.

M. Yıldız, K.Yakut, H. Bakış and A. Noels Ege University, Department of Astronomy and Space Sciences, Bornova, 35100 İzmir, Turkey Institute of Astronomy, Catholic University of Leuven, Celestijnenlaan 200 B, 3001 Leuven, Belgium Department of Physics, Faculty of Arts and Sciences, Çanakkale Onsekiz Mart University, 17100 Çanakkale, Turkey Institut d’Astrophysique et Géophysique, Université de ...

The performance of production programs can be improved by firing multiple rules in a production cycle. Although considerable amount of research has been done on parallel processing of production programs , the problem of multiple rule firing has not been thoroughly investigated yet. In this paper, we begin by identifying the problems associated with multiple rule firing systems: the compatibili...

The diffusion of standards is characterized by network effects, path dependency, and the penguin effect. Particularly the latter, also referred to as excess inertia, is a frequent inhibitor of the adoption of standards, even if they could provide benefits. This is particularly true for item master data pools that suffer from little adoption in many industries as benefits can only accrue if many...

This paper investigates long-run dependencies of volatility and volume, supposing that are driven by the same informative process. Log-realized volatility and log-volume are characterized by upper and lower tail dependence, where the positive tail dependence is mainly due to the jump component. The possibility that volume and volatility are driven by a common fractionally integrated stochastic ...

Rough set data analysis (RSDA) has recently become a frequently studied symbolic method in data mining. Among other things, it is being used for the extraction of rules from databases; it is, however, not clear from within the methods of rough set analysis, whether the extracted rules are valid. In this paper, we suggest to enhance RSDA by two simple statistical procedures, both based on ran-do...

Dependence structures between the failure time and the cause of failure are expressed in terms of the monotonicity properties of the conditional probabilities involving the cause of failure and the failure time. Further, these properties of the conditional probabilities are used for testing various dependence structures and several U-statistics are proposed. In the process, a concept of concord...

The principal premise of this paper is that as a field, we do not currently have a suitable conceptual framework for reasoning about inherent parallelism. We have techniques called dependence analysis for determining the safety of parallelization, but these techniques do not provide a basis for abstraction and so do not scale well to entire applications that are large, complex and developed fro...

In this paper we clarify dependence properties of elliptical distributions by deriving general but explicit formulas for the coefficients of upper and lower tail dependence and spectral measures with respect to different norms. We show that an elliptically distributed random vector is regularly varying if and only if the bivariate marginal distributions have tail dependence. Furthermore, the ta...