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My primary research interests include robust multivariate data analysis, robust functional data analysis,  outlier detection.  I published numerous technical papers and co-authored a paper which received an honorable mention award in Computers and Biology in Medicine. I am Elected Member of ISI since 2012 and serves as the country representative of the ISI Committee on Women in Statistics (CWIS). I serve as an associate editor of Communications in Statistics in Theory and Methods and Simulation and Computation.  I was awarded to be Fullbright Specialist Scholar in 2016. I advised numerous Ph.D./M.S. students and served on numerous interdisciplinary Ph.D./M.S. graduate committees. I am the recipient of the departmental awards for Outstanding Teacher of Graduate Students and Excellence in Teaching . I made the decision of choosing a path in STEM field at a very young age because I had strong belief that it consists of the concepts that relate to solving real-life problems thus, technology and science would have the power to change the world. The developments and innovations in science and technology  have been leading the way to find solutions to some of the world's biggest problems and drastically change our society for the better. 

Selected publications in

A) Diagnostic Methods, Classical and Robust Regression Modelling, Multicollinearity

Billor, N. and Loynes, R. M. (1993), "Local Infuence: A New Approach," Communications in Statistics Theory and Methods, Vol 22, No.6, 1595 - 1611.

Billor, N. and Loynes, R.M. (1999), "An Application of the Local Influence Approach to Ridge Regression," Journal of Applied Statistics, 26, No 2, 177 - 183.

Arslan, O. and Billor, N. (2000), "Robust Liu Estimator for Regression Based on M-estimator," Journal of Applied Statistics, 27, 39 - 47.

Yuksel, G., Billor, N., and Unal, D. (2010), "Shrinkage Pre-test Estimator of the Univariate Normal Mean," Pakistan Journal of Statistics, 26, 3, 461 - 477.

B) Outlier Detection and Classical and Robust Multivariate Data Analysis

Billor, N., Hadi, A. S., and Velleman, P. F. (2000), "BACON: Blocked Adaptive Computationally-Efficient Outlier Nominators," Computational Statistics and Data Analysis, 34, 279 - 298.

Caroni, C. and Billor, N., (2007), "Robust Detection of Multiple Outliers in Grouped Multivariate Data," Journal of Applied Statistics, 34, 19, 1241 - 1250.

Pandey, S., Billor, N., and Turkmen, A. (2008), "The Effect of Outliers in Independent Component Analysis," American Journal for Mathematical and Management, 28, Nos. 3 and 4, 399 - 418.

Billor, N. and Kiral, G. (2008), "Comparison of Multiple Outlier Detection Methods for Regression Data," Communications in Statistics- Simulation and Computation, 37, 3, 521 - 545.

Billor, N. , Abebe, A., Turkmen, A. and Nudurapati, S. (2008), "Classification based on Data Depth," Journal of Classification, 25, 249 - 260.

Turkmen, A. and Billor, N. (2012), "Partial Least Squares Classification for High Dimensional Data Using the PCOUT Algorithm," Computational Statistics, 28, 2, Page 771-788.

Bell, R. C., Jones-Farmer, L. A. and Billor, N. (2013), "A Distribution-Free Control Chart for Retrospective Location Analysis of Subgrouped Multivariate Data," Technometrics, DOI:10.1080/00401706.2013.879264.

Magnotti, J. and Billor, N. (2014), "Finding multivariate outliers in fMRI time-series data," Computers and Biology in Medicine, 53, 115-124. (Honorable Mention Paper, Top 10% ).

C) Robust Functional Data Analysis

Sawant, P., Billor, N., and Shin, H. (2012), "Robust Functional Principal Component Analysis," Computational Statistics, 27, 1, 83 - 102.

Lee, S., Shin, H., and Billor, N. (2013), "M-type Smoothing Spline Estimation for Principal Functions," Computational Statistics and Data Analysis, 66, 89 - 100.

Denhere, M. and Billor, N. (2013), "Robust Principal Component Functional Logistic Regression," Communications in Statistics: Simulations and Computation, DOI: 10.1080/03610918.2013.861628.

Pannu, J. and Billor, N. (2015) "Robust Group-Lasso for Functional Regression Model," Communications in Statistics: Simulations and Computation, DOI:10.1080/03610918.2015.1096375.

Lima, I. R., Cao, G. and Billor, N. (2018) "Robust Simultaneous Inference for the Functional Mean in Functional Data," TEST, DOI 10.1007/s11749-018-0598-y.

Lima, I. R., Cao, G. and Billor, N. (2019) "M-Based Simultaneous Inference for the Mean Function of Functional Data," Annals of the Institute of Statistical Mathematics, DOI 10.1007/s10463-018-0656-y.

D) Genomewide Association

Turkmen, A.S., Yuan, Y. and Billor N. (2019) "Evaluation of Methods for Adjusting Population Stratification in Genome-wide Association Studies: Standard versus Categorical Principal Component Analysis," Annals of Human Genetics, Accepted.

E) Interdisciplinary Collaborative Study

Acquah, G., Via, B. ,Fasina, O., Adhikari, S., Billor, N. and Eckhardt, L. (2018) "Estimating the Basic Density and Mechanical Properties of Elite Loblolly Pine Families with Near Infrared Spectroscopy," Forest Science, doi.org/10.1093/forsci/fxx009.

Acquah, G., Via, B., Fasina, O., Adhikari, S., Billor, N. and Eckhardt, L. (2017) "Chemometric Modeling of Thermogravimetric Data for the Compositional Analysis of Forest Biomass," PLOS ONE, doi.org/10.1371/journal.pone.0172999.

Wittayanukorn, S., Qian, J., Westrick, S. C., Billor, N., Johnson, B. and Hansen, R. A. (2017) "Prevention of Trastuzumab and Anthracycline-Induced Cardiotoxicity Using Angiotensin-Converting Enzyme Inhibitors or Beta-Blockers in Breast Cancer Patients," Journal of Clinical Oncology, doi: 10.1097/COC.0000000000000389.

Liles, M. R., Turkmen, O., Manske, B. F., Zhang, M., Rouillard, J. M., Balser, T., Billor, N. and Goodman, R. M. (2010), "A phylogenetic microarray targeting 16S rRNA genes from the bacterial division Acidobacteria reveals a lineage-specific distribution in soil fractions," Soil Biology and Biochemistry, 42, 5, 739 - 747.

Polyakova, O. and Billor, N. (2007), "Impact of Deciduous Tree Species on Litterfall Quality, Decomposition Rates and Nutrient Circulation in Pine Stands," Forest Ecology and Management, 253, 1 - 3, 11 - 18.

Last Updated: 12/04/2019