Research and Publications

Areas of Interest

  • Statistical Data Integration
  • Predictive Modeling on High-Dimensional Data
  • Signal Regression in Multivariable Calibration
  • Variable Selection
  • Statistical Computation

Selected Publications and Manuscripts

Full Publications List

Google Scholar Citation

  • Bhatta, D., Paudel, K.P. and Li, B. (2021) “Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA”, Natural Resource Modeling.
  • Li, B., Marx, B.D., Chakraborty, S. and Weindorf, D.C. (2021) “Multivariate calibration on heterogeneous samples”, Chemometrics and Intelligent Laboratory Systems, 217: 104386.
  • Li, B., Chakraborty, S., Weindorf, D.C. and Yu, Q. (2021) “Data Integration Using Model-Based Boosting”, SN Computer Science, 2 Article number 400.
  • Li, B., Yu, Q., Zhang, L. and Hsieh, M. (2021) “Regularized multiple mediation analysis”, Statistics and Its Interface, 14(4): 449-458.
  • Yu, Q. and Li, B. "Third-variable effect analysis with multilevel additive models". (2020) PLOS ONE.
  • Yu, Q. and Li, B., "A Multivariate Multiple Third-Variable Effect Analysis with an Application to Explore Racial and Ethnic Disparities in Obesity", Journal of Applied Statistics, 48(4), 750-764.
  • Yu, Q. and Li, B. "Model-guided adaptive sampling for Bayesian model selection". (2020) Journal of the Korean Statistical Society, 49(4), 1195-1213.
  • Li, B., Yu, Q. and Peng, L. (2020) "Ensemble of Fast Learning Stochastic Gradient Boosting". Communications in Statistics - Simulation and Computation,
  • S. Irving, B. Li, S.-M. Chen, Lu Peng, Weihua Zhang, and Lide Duan, (2020). "Computer Comparisons in the Presence of Performance Variation". Frontiers of Computer Science (Springer), 14(1): 21-41.
  • Xu, Y., Wang, L., Ma, Z., Li, B., Bartels, R., Liu, C., Zhang, X. and Dong, J. (2020) "Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture". IEEE Transactions on Geoscience and Remote Sensing, Vol. 58(2): 1182-1191.
  • Liu, H., Xu, K., Li, B., Han, Y. and Li, G. (2019). "Sediment identification using machine-learning classifiers in a mixed-texture dredge pit of Louisiana shelf for coastal restoration". Water, 11(6): 1257.
  • Chakraborty, S., Li, B., Weindorf, D.C. Deb, S. Acree, A. De, P. and Panda, P. (2019). "Use of portable X-ray fluorescence spectrometry for classifying soils from different land use land cover systems in India". Geoderma, Vol. 338:5-13.
  • Li, B., B.D. Marx., Chakraborty, S. and Weindorf, D.C. (2019). "Multivariate calibration with robust signal regression". Statistical Modelling: An International Journal, Vol. 19(5): 524-544.
  • Yu, Q., Wu, X., Li, B. and Scribner, R.A. (2018). "Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival". Statistics in Medicine, Vol. 38(3): 398-412.
  • Li, B., Chakraborty, S., Godoy, M., Kusi, N.Y.O. and Weindorf, D.C. (2018). "Compost cation exchange capacity via portable X-ray fluorescence (PXRF) spectrometry". Compost Science and Utilization, Vol. 26(4): 271-278.
  • Li, B. and Yu, Q., 2017, A Nonparametric Test of Independence Between Two Variables. Statistical Analysis and Data Mining.
  • Yu, Q. and Li, B., 2017, mma: An R Package for Mediation Analysis with Multiple Mediators. Journal of Open Research Software, 5 (1), 11. DOI: The R package,
  • B. Li, S.-M. Chen, and L. Peng, “Precise Computer Performance Comparisons Via Statistical Resampling Methods,” Proceedings of The 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, PA. Mar. 2015.
  • Yu, Q., Li, B. (2014), Regularization and Estimation in Regression with Cluster Variables. Open Journal of Statistics, 4(10), 814-825.
  • Yu, Q., Li, B., Fang, Z. and Peng, L. 2012, Model Guided Adaptive Design and Analysis in Computer Experiment. Statistical Analysis and Data Mining, 5(5), 399-409.
  • Li, B., Sanderlin R, Melanson R and Yu, Q., (2011), Spatio-Temporal Analysis of A Plant Disease in A Non-uniform Crop: A Monte Carlo Approach. Journal of Applied Statistics 38(1), 175-182.
  • Marx, B., Eilers, P. and Li, B. (2011) “Multidimensional single-index signal regression.” Chemometrics and Intelligent Lab Systems, 109(2): 120-130.
  • Yu, Q., Li, B., Fang, Z. and Peng, L. (2010), An Adaptive Sampling Scheme Guided by BART - with an Application to Predict Processor Performance. The Canadian Journal of Statistics, 38(1), 136-152.
  • Li, B. and Yu, Q., (2009), Robust and Sparse Bridge Regression. Statistics and Its Interface,2, 481-491.
  • Yu, Q., Li, B. and Scribner, R. 2009, Hierarchical Additive Modeling of Nonlinear Association with Spatial Correlations - An Application to related alcohol outlet destruction and changes in neighborhood rates of assaultive violence. Statistics in Medicine, 28(14), 1896-1912.
  • Li, B., Yu, Q., 2008, Classification of functional data: A segmentation approach, Computational Statistics & Data Analysis, 52(10), 4790-4800.
  • Li, B. and Marx, B. (2008). Sharpening P-spline Signal Regression. Statistical Modelling: An International Journal, 4: 367-384.
  • Li, B. and Goel, P.K. (2007). Additive Regression Trees and Smoothing Splines - Predictive Modeling and Interpretation in Data Mining. Contemporary Mathematics, Vol: 443: 83-101.
  • Li, B. and Goel, P.K. (2006). Regularized Optimization in Statistical Learning: A Bayesian Perspective. Statistica Sinica, 16: 411-424.