Causal inference for multivariate stochastic process prediction

Numerous real world systems of major interest are modeled as sets of analog continuous stochastic processes with delayed and varying causal relationships. Yet studying their dynamic becomes often difficult, as it involves sensing, understanding and predicting a system of inter-dependent random varia...

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Bibliographic Details

Published in:	Information sciences Vol. 448-449; pp. 134 - 148
Main Authors:	Cabuz, Simona, Abreu, Giuseppe
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2018
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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