This paper introduces a real rational module framework in the context of Prediction Error Identification using Box-Jenkins model structures. This module framework, which can easily...
Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. ...
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
Case studies can significantly contribute towards improving the understanding of formalisms and thereby to their applicability in practice. One such case, namely a cascade of the ...
We present a model and a core programming language appropriate for modeling and programming interactive computing systems. The model consists of rv-systems (interactive systems wit...