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Lulu Kang
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Year
Regression-based inverse distance weighting with applications to computer experiments
VR Joseph, L Kang
Technometrics 53 (3), 254-265, 2011
922011
Predicting influent biochemical oxygen demand: Balancing energy demand and risk management
JJ Zhu, L Kang, PR Anderson
Water research 128, 304-313, 2018
532018
Bayesian optimal single arrays for robust parameter design
L Kang, VR Joseph
Technometrics 51 (3), 250-261, 2009
272009
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
ML Boby, D Fearon, M Ferla, M Filep, L Koekemoer, MC Robinson, ...
Science 382 (6671), eabo7201, 2023
232023
Fair and diverse allocation of scarce resources
H Anahideh, L Kang, N Nezami
Socio-Economic Planning Sciences 80, 101193, 2022
222022
Gaussian process assisted active learning of physical laws
J Chen, L Kang, G Lin
Technometrics 63 (3), 329-342, 2021
202021
A Bayesian hierarchical model for quantitative and qualitative responses
L Kang, X Kang, X Deng, R Jin
Journal of Quality Technology 50 (3), 290-308, 2018
192018
Kernel approximation: From regression to interpolation
L Kang, VR Joseph
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 112-129, 2016
182016
Particle-based Energetic Variational Inference
Y Wang, J Chen, C Liu, L Kang
Statistics and Computing 31, 34, 2021
172021
D-optimal design for network a/b testing
V Pokhilko, Q Zhang, L Kang
Journal of Statistical Theory and Practice 13 (4), 1-23, 2019
152019
Design and modeling strategies for mixture-of-mixtures experiments
L Kang, V Roshan Joseph, WA Brenneman
Technometrics 53 (2), 125-136, 2011
152011
Product defect rate confidence bound with attribute and variable data
L Kang, WA Brenneman
Quality and Reliability Engineering International 27 (3), 353-368, 2011
132011
Comparing the slack-variable mixture model with other alternatives
L Kang, JC Salgado, WA Brenneman
Technometrics 58 (2), 255-268, 2016
122016
A GENERAL CONSTRUCTION FOR SPACE-FILLING LATIN HYPERCUBES
CD Lin, L Kang
Statistica Sinica 26, 675-690, 2016
102016
Bayesian optimal blocking of factorial designs
M Ai, L Kang, VR Joseph
Journal of statistical planning and inference 139 (9), 3319-3328, 2009
72009
Locally optimal design for a/b tests in the presence of covariates and network dependence
Q Zhang, L Kang
Technometrics 64 (3), 358-369, 2022
62022
Bayesian auxiliary variable model for birth records data with qualitative and quantitative responses
X Kang, S Ranganathan, L Kang, J Gohlke, X Deng
Journal of statistical computation and simulation 91 (16), 3283-3303, 2021
62021
Is a transformed low discrepancy design also low discrepancy?
Y Li, L Kang, FJ Hickernell
Contemporary Experimental Design, Multivariate Analysis and Data Mining …, 2020
62020
Covariate balancing based on kernel density estimates for controlled experiments
Y Li, L Kang, X Huang
Statistical Theory and Related Fields 5 (2), 102-113, 2021
52021
Additive heredity model for the analysis of mixture-of-mixtures experiments
S Shen, L Kang, X Deng
Technometrics 62 (2), 265-276, 2020
52020
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Articles 1–20