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SIAM/ASA Journal on Uncertainty Quantifications

Editors-in-Chief: Peter Challenor, University of Exeter and Andrew Stuart, Caltech. Find out who makes up the rest of the Editorial Board.

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About the Journal

SIAM/ASA Journal on Uncertainty Quantification (JUQ) publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification, defined as the interface of complex modeling of processes and data, especially characterizations of the uncertainties inherent in the use of such models. The journal also focuses on related fields such as sensitivity analysis, model validation, model calibration, data assimilation, and code verification. The journal also solicits papers describing new ideas that could lead to significant progress in methodology for uncertainty quantification as well as review articles on particular aspects. The journal is dedicated to nurturing synergistic interactions between the mathematical, statistical, computational, and applications communities involved in uncertainty quantification and related areas. JUQ is jointly offered by SIAM and the American Statistical Association.

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Editorial Board

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SIAM publishes 18 peer-reviewed research journals and is the leading source of knowledge for the world's applied mathematics and computational science communities. The full text of all SIAM journals are available electronically by subscription.
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