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Technometrics Volume 61, 2019 - Issue 3
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Original Articles

Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

V. Roshan JosephH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA; Correspondence[email protected]
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,
Dianpeng WangSchool of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China; View further author information
,
Li GuAmazon.com, Inc., Seattle, WA; View further author information
,
Shiji LyuDepartment of Mathematics, Princeton University, Princeton, NJ; View further author information
&
Rui TuoDepartment of Industrial & Systems Engineering, Texas A& M University, College Station, TXView further author information
Pages 297-308 | Received 17 Dec 2017, Accepted 16 Nov 2018, Published online: 22 Mar 2019

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ShiXiang Li, Yubin Tian & Dianpeng Wang. (2023) Parallel efficient global optimization by using the minimum energy criterion. Journal of Statistical Computation and Simulation 93:17, pages 3104-3125.
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Özge Sürer, Matthew Plumlee & Stefan M. Wild. (2023) Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models. Technometrics 0:0, pages 1-15.
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Wenlin Dai, Yan Song & Dianpeng Wang. (2023) A Subsampling Method for Regression Problems Based on Minimum Energy Criterion. Technometrics 65:2, pages 192-205.
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Yuxia Liu, Yubin Tian & Dianpeng Wang. (2023) Bayesian sequential design for sensitivity experiments with hybrid responses. Journal of Quality Technology 55:2, pages 181-194.
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Chaofan Huang, V. Roshan Joseph & Simon Mak. (2022) Population Quasi-Monte Carlo. Journal of Computational and Graphical Statistics 31:3, pages 695-708.
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Jiawei Liu, Yike Xiao, Xiaojun Duan, Xuan Chen, Zhengming Wang & Zecong Liu. A novel batch-selection strategy for parallel global optimization. Engineering Optimization 0:0, pages 1-25.
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Articles from other publishers (17)

Jun Yu, Mingyao Ai & Zhiqiang Ye. (2023) A review on design inspired subsampling for big data. Statistical Papers 65:2, pages 467-510.
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Kevin R. Quinlan, Jagadeesh Movva & Brad Perfect. (2024) Non‐uniform active learning for Gaussian process models with applications to trajectory informed aerodynamic databases . Statistical Analysis and Data Mining: The ASA Data Science Journal 17:2.
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Long-Hao Xu, Yinan Li & Kai-Tai Fang. (2024) The resampling method via representative points. Statistical Papers.
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Dananjaya Liyanage, Özge Sürer, Matthew Plumlee, Stefan M. Wild & Ulrich Heinz. (2023) Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions. Physical Review C 108:5.
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Henry Shaowu Yuchi, V. Roshan Joseph & C. F. Jeff Wu. (2023) Design and Analysis of Multifidelity Finite Element Simulations. Journal of Mechanical Design 145:6.
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Sumin Wang & Fasheng Sun. (2023) Deterministic sampling based on Kullback–Leibler divergence and its applications. Statistical Papers.
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Luc Pronzato. (2022) Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy. Statistics and Computing 33:1.
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Jun Yu & HaiYing Wang. (2022) Subdata selection algorithm for linear model discrimination. Statistical Papers 63:6, pages 1883-1906.
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Zikang Xiong, Wenjie Liu, Jianhui Ning & Hong Qin. (2022) Sequential support points. Statistical Papers 63:6, pages 1757-1775.
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Alessandro Barp, Chris. J. Oates, Emilio Porcu & Mark Girolami. (2022) A Riemann–Stein kernel method. Bernoulli 28:4.
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Mert Y. Sengul, Yao Song, Linglin He, Adri C. T. van Duin, Ying Hung & Tirthankar Dasgupta. (2022) CLAIMED: A CLAssification-Incorporated Minimum Energy Design to Explore a Multivariate Response Surface With Feasibility Constraints. IEEE Transactions on Automation Science and Engineering 19:4, pages 2862-2873.
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Ö. Sürer, F. M. Nunes, M. Plumlee & S. M. Wild. (2022) Uncertainty quantification in breakup reactions. Physical Review C 106:2.
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Long-Hao Xu, Kai-Tai Fang & Ping He. (2021) Properties and generation of representative points of the exponential distribution. Statistical Papers 63:1, pages 197-223.
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Chaofan Huang, V. Roshan Joseph & Douglas M. Ray. (2021) Constrained minimum energy designs. Statistics and Computing 31:6.
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Shih-Hsien Tseng & Tien Son Nguyen. (2021) A Method for Visualizing Posterior Probit Model Uncertainty in the Early Prediction of Fraud for Sustainability Development. Axioms 10:3, pages 178.
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Alan R. Templeton. 2021. Population Genetics and Microevolutionary Theory. Population Genetics and Microevolutionary Theory 668 722 .
Mert Y. Sengul, Yao Song, Nadire Nayir, Yawei Gao, Ying Hung, Tirthankar Dasgupta & Adri C. T. van Duin. (2021) INDEEDopt: a deep learning-based ReaxFF parameterization framework. npj Computational Materials 7:1.
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