Index Catalog // Arch : Northwestern University Institutional Repository

Description:: Gaussian process provides a principled and flexible approach for modeling the response surface or the latent function in many areas, including machine learning, statistics and computer experiment. In literature, Gaussian process models have already demonstrated their effectiveness and usefulness in a variety of applications. In this dissertation, we mainly focus...
Keyword:: variable selection, variational inference, Gaussian process, and lifted Brownian random field
Subject:: Statistics
Creator:: Yu, Yang
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15098 and etdadmin_upload_742660

Description:: The heart of computational materials science lies in providing fundamental insights and understanding of materials behavior and properties across different scales. The significance of this task is highlighted by the Materials Genome Initiative and the emergence of computational tools and frameworks such as materials by design, microstructure sensitive design, and...
Keyword:: random Process, Multiscale simulation, Microstructure, Gaussian process, and Uncertainty
Subject:: Materials Science, Statistics, and Mechanical engineering
Creator:: Bostanabad, Ramin
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14508 and etdadmin_upload_638165

Description:: Computer simulation experiments are commonly used as an inexpensive alternative to real-world experiments to form a metamodel that approximates the input-output relationship of the real-world experiment. The metamodel can be useful for decision making and making predictions for inputs that have not been evaluated yet since it can be evaluated...
Keyword:: Metamodel, Gaussian process, Composite grid design, Sequential computer experiment, and Computer experiment
Subject:: Industrial engineering and Statistics
Creator:: Erickson, Collin
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14683 and etdadmin_upload_663282

LIBRARIES | ARCH