Journal Publications

  1. Kang, L. and Joseph, V.R. (2009) Bayesian Optimal Single Arrays for Robust Parameter Design. Technometrics, 51, 250-261. (Winner of the Best Student Paper Award, QSR, INFORMS, 2009.)
  2. Ai, M., Kang, L., and Joseph, V.R. (2009) Bayesian Optimal Blocking of Factorial Designs. Journal of Statistical Planning and Inference, 139, 3319-3328.
  3. Kang, L., Joseph, V.R., and Brenneman, W. (2011) Design and Modeling Strategies for Mixture-of-Mixtures Experiments. Technometrics, 53, 125-136.
  4. Joseph, V.R. and Kang, L. (2011) Regression-Based Inverse Distance Weighting with Applications to Computer Experiments. Technometrics, 53, 254-265.
  5. Kang, L. and Brenneman, W. A. (2011) Product Defect Rate Confidence Bound with Attribute and Variable Data. Quality and Reliability Engineering International, 27, 353-368.
  6. Kang, L., Salgado, J. C., and Brenneman, W. A. (2016) Comparing the Slack-Variable Mixture Model with Other Alternatives. Technometrics, 58, 255-268.
  7. Lin, C. D. and Kang, L. (2016) A General Construction for Space-filling Latin Hypercubes. Statistica Sinica, 26, 675-690.
  8. Kang, L. and Joseph, V. R. (2016) Kernel Approximation: from Regression to InterpolationSIAM/ASA Journal on Uncertainty Quantification, 4, 112-129.
  9. Zhu, J., Kang, L., Anderson, P. (2017+) Predictive influent biochemical oxygen demand modeling: Trade-off between energy demand and risk management. Water Research, accepted.

Other Publications

10. Kang, L. (2017) Book Review: Strategies for Formulations Development: A Step-by-Step Guide Using JMP. Journal of Quality Technology, 49, 297-298.


  1. Kang, L. Stochastic Coordinate-Exchange Optimal Designs with Complex Constraints.   Submitted to Computational Statistics & Data Analysis.
  2. Huang, X., Kang, L., Kassa, M., Hall, C. Two-Stage Functional Data Analysis for Engine Experiments with Quantitative and Qualitative Factors. Submitted to Journal of Royal Statistical Society, Series C: Applied Statistics.
  3. Kang, L., Kang, X., Deng, X., Jin, R. (2016) Bayesian Hierarchical Models for Quantitative and Qualitative Responses. Under revision for Journal of Quality Technology.
  4. Kang, L., Deng, X., Jin, R. Bayesian D-Optimal Design of Experiments with Quantitative and Qualitative Responses. Under revision for Journal of American Statistical Association.