Архив

Том 9, 2019 / Выпуск 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i4

Table of Contents:

A MULTILEVEL APPROACH FOR SEQUENTIAL INFERENCE ON PARTIALLY OBSERVED DETERMINISTIC SYSTEMS Ajay Jasra, Kody J.H. Law, Yi Xu

Ajay Jasra
Department of Statistics & Applied Probability, National University of Singapore, Singapore

Kody J.H. Law
School of Mathematics, University of Manchester, Manchester, M139PL, UK

Yi Xu
Department of Statistics & Applied Probability, National University of Singapore, Singapore

321-330 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027245

PIG PROCESS: JOINT MODELING OF POINT AND INTEGRAL RESPONSES IN COMPUTER EXPERIMENTS Heng Su, Rui Tuo, C. F. Jeff Wu

Heng Su
Wells Fargo Bank, Charlotte, NC 28202, USA

Rui Tuo
Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA

C. F. Jeff Wu
The H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

331-349 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027823

SURROGATE MODELING OF STOCHASTIC FUNCTIONS−APPLICATION TO COMPUTATIONAL ELECTROMAGNETIC DOSIMETRY Soumaya Azzi, Yuanyuan Huang, Bruno Sudret, Joe Wiart

Soumaya Azzi
LTCI, Télécom ParisTech, Chair C2M, 46 Rue Barrault, 75013 Paris, France

Yuanyuan Huang
LTCI, Télécom ParisTech, Chair C2M, 46 Rue Barrault, 75013 Paris, France

Bruno Sudret
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland

Joe Wiart
LTCI, Télécom ParisTech, Chair C2M, 46 Rue Barrault, 75013 Paris, France

351-363 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029103

EMBEDDED MODEL ERROR REPRESENTATION FOR BAYESIAN MODEL CALIBRATION Khachik Sargsyan, Xun Huan, Habib N. Najm

Khachik Sargsyan
Sandia National Laboratories, Livermore, California 94551, USA

Xun Huan
Sandia National Laboratories, 7011 East Ave, MS 9051, Livermore, CA 94550, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA

Habib N. Najm
Sandia National Laboratories, P.O. Box 969, MS 9051, Livermore, CA 94551, USA

365-394 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027384

WASSERSTEIN METRIC-DRIVEN BAYESIAN INVERSION WITH APPLICATIONS TO SIGNAL PROCESSING Mohammad Motamed, Daniel Appelo

Mohammad Motamed
Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, 87131, USA

Daniel Appelo
Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado

395-414 страниц
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027745

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