Home

Teaching  

Research  

CV  

Hobby  

Links  

Department  

Research

Areas of interest

• Statistical data integration
• Predictive modeling on high-dimensional data
• Signal regression in multivariate calibration
• Variable selection
• Statistical Computation

My Google Scholar Citation is here.

Selected Publications and Manuscripts

• 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. link
• Li, B., Marx, B.D., Chakraborty, S. and Weindorf, D.C. (2021) “Multivariate calibration on heterogeneous samples”, Chemometrics and Intelligent Laboratory Systems, 217: 104386. link
• Li, B., Chakraborty, S., Weindorf, D.C. and Yu, Q. (2021) “Data Integration Using Model-Based Boosting”, SN Computer Science, 2 Article number 400. link
• Li, B., Yu, Q., Zhang, L. and Hsieh, M. (2021) “Regularized multiple mediation analysis”, Statistics and Its Interface, 14(4): 449-458. link
• Yu, Q. and Li, B. "Third-variable effect analysis with multilevel additive models". (2020) PLOS ONE. Link
• 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. link.
• Yu, Q. and Li, B. "Model-guided adaptive sampling for Bayesian model selection". (2020) Journal of the Korean Statistical Society, 49(4), 1195-1213. Link
• Li, B., Yu, Q. and Peng, L. (2020) "Ensemble of Fast Learning Stochastic Gradient Boosting". Communications in Statistics - Simulation and Computation, link.
• 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. Link.
• 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. Link.
• 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. Link.
• 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. Link.
• 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. Link.
• 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. Link.
• 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. Link.
• Li, B. and Yu, Q., 2017, A Nonparametric Test of Independence Between Two Variables. Statistical Analysis and Data Mining. Link.
• Yu, Q. and Li, B., 2017, mma: An R Package for Mediation Analysis with Multiple Mediators. Journal of Open Research Software, 5 (1), 11. Link. DOI: http://doi.org/10.5334/jors.160. The R package, mma.
• 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. Link.
• Yu, Q., Li, B. (2014), Regularization and Estimation in Regression with Cluster Variables. Open Journal of Statistics, 4(10), 814-825. Link.
• 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. Link.
• 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. Link.
• Marx, B., Eilers, P. and Li, B. (2011) “Multidimensional single-index signal regression.” Chemometrics and Intelligent Lab Systems, 109(2): 120-130. Link.
• 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. Link.
• Li, B. and Yu, Q., (2009), Robust and Sparse Bridge Regression. Statistics and Its Interface,2, 481-491. Link.
• 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. Link.
• Li, B., Yu, Q., 2008, Classification of functional data: A segmentation approach, Computational Statistics & Data Analysis, 52(10), 4790-4800. Link.
• Li, B. and Marx, B. (2008). Sharpening P-spline Signal Regression. Statistical Modelling: An International Journal, 4: 367-384. Link.
• 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. Link.
• Li, B. and Goel, P.K. (2006). Regularized Optimization in Statistical Learning: A Bayesian Perspective. Statistica Sinica, 16: 411-424. Link.