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Journal of the American Statistical Association Volume 115, 2020 - Issue 530
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Theory and Methods

A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series

Chih-Li Sunga Department of Statistics and Probability, Michigan State University, East Lansing, MI; ORCID Iconhttps://orcid.org/0000-0003-4622-5195View further author information
ORCID Icon,
Ying Hungb Department of Statistics, Rutgers, The State University of New Jersey, New Brunswick, NJ; View further author information
,
William Rittasec Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA; View further author information
,
Cheng Zhuc Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA; View further author information
&
C. F. Jeff Wud School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GACorrespondence[email protected]
View further author information
Pages 945-956 | Received 06 May 2017, Accepted 16 Mar 2019, Published online: 28 May 2019

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Xubo Yue & Raed Al Kontar. (2024) Optimize to generalize in Gaussian processes: An alternative objective based on the Rényi divergence. IISE Transactions 56:6, pages 600-610.
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Xia Cai, Li Xu, C. Devon Lin, Yili Hong & Xinwei Deng. (2024) Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration. Journal of Quality Technology 56:1, pages 5-19.
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Ying Hung, Li-Hsiang Lin & C. F. Jeff Wu. (2023) Optimal Simulator Selection. Journal of the American Statistical Association 118:542, pages 1264-1271.
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Chih-Li Sung, Ying Hung, William Rittase, Cheng Zhu & C. F. J. Wu. (2020) Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study. Journal of the American Statistical Association 115:532, pages 1664-1674.
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Articles from other publishers (7)

Chih-Li Sung & Ying Hung. (2024) Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-19. Journal of the Royal Statistical Society Series C: Applied Statistics 73:1, pages 47-64.
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Moyan LiRaed Kontar. (2022) On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes. SIAM/ASA Journal on Uncertainty Quantification 10:4, pages 1714-1732.
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Jingru Huang, Yan Wang & Mei Han. (2022) Fast L2 Calibration for Inexact Highway Traffic Flow Systems. Electronics 11:22, pages 3710.
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Won Chang, Bledar A. Konomi, Georgios Karagiannis, Yawen Guan & Murali Haran. (2022) Ice model calibration using semicontinuous spatial data. The Annals of Applied Statistics 16:3.
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Jiakun Jiang, Huazhen Lin, Qingzhi Zhong & Yi Li. (2022) Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach. Journal of Multivariate Analysis 189, pages 104888.
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Saumya Bhatnagar, Won Chang, Seonjin Kim & Jiali Wang. (2022) Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression. SIAM/ASA Journal on Uncertainty Quantification 10:1, pages 1-26.
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Jeevan Jankar, Hongzhi Wang, Lauren Rose Wilkes, Qian Xiao & Abhyuday Mandal. 2022. Advances in Computational Modeling and Simulation. Advances in Computational Modeling and Simulation 15 29 .

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