Lu Chen

NISS Position: 
Research Fellow I -- Statistician

Lu Chen is a Research Fellow I - Statistician for NISS, working with the National Agricultural Statistical Service (NASS). She received her Bachelor of Science degree in Mathematics in Nankai University, China and Master of Science in Finance degree in Clark University.  She earned her Ph.D. of Statistics from Worcester Polytechnic Institute. 

Lu's research interests include:

  • Bayesian Statistics;
  • Small Area Estimation;
  • High Performance Computing in Bayesian Statistics.

Selected Publications

  • Chen, L. and Nandram, B. (2018). Bayesian Logistic Regression Model for Sub-Areas. In JSM Proceedings, Bayesian Statistical Science Section. Alexandria, VA: American Statistical Association, 966-994.
  • Chen, L. and Lisic, J.  (2018). cdlTools: Tools to Download and Work with USDA Cropscape Data. R package, version 0.14
  • Ma, J-H, Sedransk, J., Nandram, B. and Chen, L. (2018). Bayesian Predictive Inference For Finite Population Quantities Under Informative Sampling. Statistics and Application, 1, 207‒226.
  • Munyangi, J., Cornet-Vernet, L., Idumbo, M., Chen, L., Lutgen, P., Perronne, C., Ngombe, N., Bianga, J., Mupenda, B., Lalukala, P. and Mergeai, G. (2019). Artemisia Annua and Artemisia Afra Tea Infusions vs. Artesunate-Amodiaquine (ASAQ) in Treating Plasmodium Falciparum Malaria in a Large Scale, Double Bind, Randomized Clinical Trial. Phytomedicine, 57, 49-56.
  • Munyangi, J., Cornet-Vernet, L., Idumbo, M., Chen, L., Lutgen, P., Perronne, C., Ngombe, N., Bianga, J., Mupenda, B., Lalukala, P. and Mergeai, G. (2018). Effect of Artemisia Annua and Artemisia Afra Tea Infusions on Schistosomiasis in a large Clinical Trial. Phytomedicine, 51, 233-240.
  • Nandram, B., Chen, L., Fu, S-T. and Manandhar, B. (2018). Bayesian Logistic Regression for Small Areas with Numerous Households. Statistics and Application, 1, 171‒205.
  • Nandram, B and Chen, L. (2018). Bayesian Analysis of Multinomial Counts from Small Areas and Sub-areas. In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association, 1140-1162.
  • Chen, L. and Nandram, B. (2023). Spatial Two-Component Mixture Model for State-Level Cash Rental Rates. The 2023 Joint Statistical Meetings (JSM) (JSM 2023), Toronto, Ontario, Canada. https://doi.org/10.5281/zenodo.8383519.
  • Chen, L. and Nandram, B. (2022). Hierarchical Bayesian Model for County-Level Cash Rental Rates. In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association, 1823-1839.
  • Chen, L., Nandram, B. (2022). A Hierarchical Bayesian Beta-Binomial Model for Sub-areas. In: Hanagal, D.D., Latpate, R.V., Chandra, G. (eds) Applied Statistical Methods. ISGES 2020. Springer Proceedings in Mathematics & Statistics, vol 380. Springer, Singapore https://doi.org/10.1007/978-981-16-7932-2_2
  • Chen, L., Nandram, B. and Cruze, N. B. (2022). Hierarchical Bayesian Model with Inequality Constraints for US County Estimates. Journal of Official Statistics, 38(3):709–732. https://doi.org/10.2478/jos-2022-0032
  • Chen, L., Cruze, N. B., and Young, L. J. (2022). Model-based Estimates for Farm Labor Quantities. Stats, 5(3), 738-754. https://doi.org/10.3390/stats5030043.
  • Chen L, Sartore L, Benecha H, Bejleri V, Nandram B. (2022). Smoothing County-Level Sampling Variances to Improve Small Area Models’ Outputs. Stats, 5(3):898-915. https://doi.org/10.3390/stats5030052
  • Chen, L., Nandram, B. and Cruze, N. B. (2020). Hierarchical Bayesian Model with Inequality Constraints for County Estimates. In JSM Proceedings, Government Statistics Section. Alexandria, VA: American Statistical Association, 1510-1527.
  • Nandram, B., N.B. Cruze, A.L. Erciulescu and L. Chen. (2022). Bayesian Small Area Models under Inequality Constraints with Benchmarking and Double Shrinkage. Research Report RDD-22-02, National Agricultural Statistics Service, USDA. Available at: https://www.nass.usda.gov/Education_and_Outreach/Reports,_Presentations_and_Conferences/reports/ResearchReport_constraintmodel.pdf. Access date: July 2022
  • Nathan, N. B. Chen, L., Guindin, N. and Nandram, B. (2020) Dancing Distributions: Developing a Better Understanding of County-Level Crop Yield from Posterior Summaries. In JSM Proceedings, Government Statistics Section. Alexandria, VA: American Statistical Association, 2262-2272.
  • Young LJ, Chen L. (2022) Using Small Area Estimation to Produce Official Statistics. Stats, 5(3):881-897. https://doi.org/10.3390/stats5030051

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