Affiliation:
1. Department of Statistics and Probability, Michigan State University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference59 articles.
1. Fricker, T. E., Oakley, J. E. and Urban, N. M. (2013). Multivariate Gaussian process emulators with nonseparable covariance structures. Technometrics 55 47–56.
2. Qian, P. Z. G., Wu, H. and Wu, C. F. J. (2008). Gaussian process models for computer experiments with qualitative and quantitative factors. Technometrics 50 383–396.
3. Santner, T. J., Williams, B. J. and Notz, W. I. (2018). The Design and Analysis of Computer Experiments. Springer Series in Statistics. Springer, New York. Second edition of [MR2160708].
4. Hoeffding, W. (1948). A class of statistics with asymptotically normal distribution. Ann. Math. Stat. 19 293–325.
5. FLAXMAN, S., MISHRA, S., GANDY, A., UNWIN, H. J. T., MELLAN, T. A., COUPLAND, H., WHITTAKER, C., ZHU, H., BERAH, T. et al. (2020). Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature 584 257–261.
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