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

@article{Sung2019AGG,
title={A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series},
author={Chih-Li Sung and Ying Hung and William Rittase and Cheng Zhu and C. F. Jeff Wu},
journal={Journal of the American Statistical Association},
year={2019},
volume={115},
pages={945 - 956}
}
• Chih-Li Sung, +2 authors C. Jeff Wu
• Published 6 May 2017
• Mathematics, Computer Science, Physics
• Journal of the American Statistical Association
Abstract Non-Gaussian observations such as binary responses are common in some computer experiments. Motivated by the analysis of a class of cell adhesion experiments, we introduce a generalized Gaussian process model for binary responses, which shares some common features with standard GP models. In addition, the proposed model incorporates a flexible mean function that can capture different types of time series structures. Asymptotic properties of the estimators are derived, and an optimal… Expand

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