Publications
You can also find my articles on my Google Scholar profile.
Journal articles (Corresponding authors marked by *)
- Wang, Y., Liu, S., & Xiao, Q.* (2024+), Construction of Orthogonal-MaxPro Latin Hypercube Designs, Journal of Quality Technology, Accept.
- Xiao, Q., Wang, Y., Mandal, A. & Deng, X.* (2024), Modeling and active learning for experiments with quantitative-sequence factors, Journal of the American Statistical Association, 119: 407-421. (Arxiv)
- Xiao, Q., Joseph V. R.*, & Ray. D. M. (2023), Maximum one-factor-at-a-time designs for screening in computer experiments, Technometrics, 65(2), 220–230. (R package)
- Li, Y., Pu, Y., Chang, C. & Xiao, Q.* (2023), A Scalable Gaussian Process for Large-Scale Periodic Data, Technometrics, 65(3), 363–374.
- Li, Y., Zhang Y., Xiao Q., & Wu, J.* (2023), Quasi-Periodic Gaussian Process Modeling of Pseudo-Periodic Signals, IEEE Transactions on Signal Processing, 71: 3548-3561.
- Zhou, Y., Xiao, Q. & Sun, F.* (2023), Construction of uniform projection designs via level permutation and expansion, Journal of Statistical Planning and Inference, 222: 209-225.
- Li, C., Shen, Y.*, Xiao, Q., Rathbun, S., Huang, H., & Guan, Y. (2022), Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias, Statistical Methods in Medical Research, 31(2), 315-333.
- Xiao, Q., Mandal, A., Lin, C. D. & Deng, X.* (2021), EzGP: Easy-to-interpret Gaussian Process models for computer experiments with both quantitative and qualitative factors, SIAM-ASA Journal on Uncertainty Quantification, 9(2), 333-353. (Arxiv) (R package)
- Xiao, Q.* & Xu, H. (2021), A Mapping-based Universal Kriging Model for Order-of-addition Problems in Drug Combination Studies, Computational Statistics & Data Analysis, 157, 107-155.
- Wang, Y., Peng, Z., Zhang, R. & Xiao, Q.* (2021), Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers, Statistical Theory and Related Fields, 5(2), 122-133. (Github)
- Wang, Y. Wang, F., Yuan, Y. & Xiao, Q.* (2021), Connecting U-type designs before and after level permutations and expansions, Journal of Statistical Theory and Practice, 15(4), 1-19.
- Cheng, W., Pan A., Rathbun S., Ge Y., Xiao, Q., Martinez L., Ling, F., Liu S., Wang X., Yu Z., Ebell M., Li C., Handel A., Chen E., & Ye, S.* (2021), Effectiveness of Neuraminidase Inhibitors to Prevent Mortality in Laboratory-Confirmed Avian Influenza A H7N9 Patients, International Journal of Infectious Diseases, 103, 573-578.
- Chen, Z., Handel, A., Martinez, L., Xiao, Q., Li, C., Chen E., Pan, J., Li, Y., Ling, F., & Shen, Y.* (2021), The Impact of Social Distancing, Contact Tracing, and Case Isolation Interventions to Suppress the COVID-19 Epidemic: A Modeling Study, Epidemics, 36, 100483.
- Lukemire J., Xiao Q., Mandal A*., & Wong W (2021), Statistical analysis of complex computer models in astronomy, The European Physical Journal Special Topics, 230:2253–2263.
- Xiao, Q., Wang, L., & Xu, H.* (2019), Application of kriging models for a drug combination experiment on lung cancer, Statistics in Medicine, 38, 236-246.
- Wang, L., Xiao, Q. & Xu, H.* (2018), Optimal maximin L_1-distance Latin hypercube designs based on good lattice point designs, The Annals of Statistics, 46(6B), 3741–3766.
- Xiao, Q., & Xu, H.* (2018), Construction of maximin distance designs via level permutation and expansion, Statistica Sinica, 28, 1395-1414.
- Xiao, Q., & Xu, H.* (2017), Construction of maximin distance Latin squares and related Latin hypercube designs, Biometrika, 104, 455–464.
Book chapters
- Jankar, J., Wang, H., Wilkes, L.R., Xiao, Q. & Mandal, A*. (2022), Design and Analysis of Complex Computer Models. In: Srinivas R., Kumar R., Dutta M. (eds) Advances in Computational Modeling and Simulation. Lecture Notes in Mechanical Engineering. Springer, Singapore.
Other Software development