| Optimal maximin -distance Latin hypercube designs based on good lattice point designs L Wang, Q Xiao, H Xu | 50 | 2018 |
| Construction of maximin distance designs via level permutation and expansion Q Xiao, H Xu Statistica Sinica 28 (3), 1395-1414, 2018 | 36 | 2018 |
| Construction of maximin distance Latin squares and related Latin hypercube designs Q Xiao, H Xu Biometrika 104 (2), 455-464, 2017 | 36 | 2017 |
| Application of kriging models for a drug combination experiment on lung cancer Q Xiao, L Wang, H Xu Statistics in medicine 38 (2), 236-246, 2019 | 26 | 2019 |
| The impact of social distancing, contact tracing, and case isolation interventions to suppress the COVID-19 epidemic: A modeling study Y Ge, Z Chen, A Handel, L Martinez, Q Xiao, C Li, E Chen, J Pan, Y Li, ... Epidemics 36, 100483, 2021 | 17 | 2021 |
| A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies Q Xiao, H Xu Computational statistics & data analysis 157, 107155, 2021 | 8 | 2021 |
| EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors Q Xiao, A Mandal, CD Lin, X Deng SIAM/ASA Journal on Uncertainty Quantification 9 (2), 333-353, 2021 | 7 | 2021 |
| Musings about constructions of efficient Latin hypercube designs with flexible run-sizes H Wang, Q Xiao, A Mandal arXiv preprint arXiv:2010.09154, 2020 | 7 | 2020 |
| Constructions and applications of space-filling designs Q Xiao University of California, Los Angeles, 2017 | 7 | 2017 |
| Statistical analysis of complex computer models in astronomy J Lukemire, Q Xiao, A Mandal, WK Wong The European Physical Journal Special Topics 230 (10), 2253-2263, 2021 | 4 | 2021 |
| Modeling and active learning for experiments with quantitative-sequence factors Q Xiao, Y Wang, A Mandal, X Deng Journal of the American Statistical Association 119 (545), 407-421, 2024 | 2 | 2024 |
| A scalable Gaussian process for large-scale periodic data Y Li, Y Pu, C Cheng, Q Xiao Technometrics 65 (3), 363-374, 2023 | 2 | 2023 |
| Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments Q Xiao, VR Joseph, DM Ray Technometrics 65 (2), 220-230, 2023 | 2 | 2023 |
| Construction of uniform projection designs via level permutation and expansion Y Zhou, Q Xiao, F Sun Journal of Statistical Planning and Inference 222, 209-225, 2023 | 2 | 2023 |
| Connecting U-type designs before and after level permutations and expansions Y Wang, F Wang, Y Yuan, Q Xiao Journal of Statistical Theory and Practice 15, 1-19, 2021 | 2 | 2021 |
| Quasi-Periodic Gaussian Process Modeling of Pseudo-Periodic Signals Y Li, Y Zhang, Q Xiao, J Wu IEEE Transactions on Signal Processing, 2023 | 1 | 2023 |
| Mean corrected generalized estimating equations for longitudinal binary outcomes with report bias C Li, Y Shen, Q Xiao, SL Rathbun, H Huang, Y Guan Statistical methods in medical research 31 (2), 315-333, 2022 | 1 | 2022 |
| Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers Y Wang, Z Peng, R Zhang, Q Xiao Statistical Theory and Related Fields 5 (2), 122-133, 2021 | 1 | 2021 |
| Effectiveness of neuraminidase inhibitors to prevent mortality in patients with laboratory-confirmed avian influenza A H7N9 W Cheng, A Pan, SL Rathbun, Y Ge, Q Xiao, L Martinez, F Ling, S Liu, ... International Journal of Infectious Diseases 103, 573-578, 2021 | 1 | 2021 |
| Construction of Maximin Distance Designs via Level Expansion Q Xiao University of California, Los Angeles, 2015 | 1 | 2015 |
Hongquan XuProfessor of Statistics and Data Science, UCLAVerified email at stat.ucla.edu
