Office Hours: TR 10:00 - 12:00, or by an appointment


Yusuf Kenan Bilgiç

Assistant Professor

of Statistics

South Hall 324A
1 College Circle
Geneseo, NY 14454

Yusuf Bilgic 2

Yusuf K. Bilgiç has been a member of the Geneseo faculty since 2012.

Did you know UP-STAT 2016 Conference is Buffalo in April?

Faculty Information


  • Ph.D. in Statistics, Western Michigan University, 2012
  • M.A., Western Michigan University, 2008


  • Research and Teaching Assistant, Western Michigan University, 2006-2012
  • Mathematics Teacher in Secondary Schools, 1998-2006

Research Interests

Nonparametric modeling and estimate; Modeling, estimation, prediction and testing in linear designs with dependent error structures using robust nonparametric methods, i.e. rank-based statistical modeling of hierarchical/nested designs; Teaching probability and statistics; I welcome any collaboration in projects and grants as a statistician or stat educator.

Publications and Professional Activities

  • Bilgic, Y. K., J., Susmann, H., McKean. 2014. rlme: An R Package for Rank-Based Estimation and Prediction in Random Effects Nested Models. URL R package version 0.4.1
  • Bradley, C., DeBose C. H., Terpstra, J. T. and Bilgic, Y. K. 2012. Postadoption Services Utilization Among African American, Transracial, and White American Parents: Counseling and Legal implications. The Family Journal. October 2012 Vol. 20 No. 4 392-398.
  • Bilgic, Y. K., Susmann, H. 2013. rlme: An R Package for Rank-Based Estimation and Prediction in Random Effects Nested Models. The R Journal, 5(2):71–80.
  • Jon D. Davis, Dustin O. Smith, Abhik R. Roy, Yusuf K. Bilgic, Reasoning-and-proving in algebra: The case of two reform-oriented U.S. textbooks, International Journal of Educational Research, Volume 64, 2014, Pages 92-106, ISSN 0883-0355,
  • Bilgic, Y. K. Rank-Based Estimation and Prediction for Mixed Effects Models in Nested Designs. Ph.D. Thesis. 2012. WMU.
  • Bilgic Y. K., McKean J. W., Kloke J. D., and Abebe A. 2015. Iteratively reweighted generalized rank-based methods for hierarchical mixed models. In progress.
  • Abebe A., McKean J. W., Kloke J. D., Bilgic Y. K. 2015. Iterated Reweighted Rank-Based Estimates for GEE Models. In progress.
  • LaVigne N., Bilgic Y. 2015. Robust Estimators In Fuzzy Logic Cellular-Automata Salt And Pepper Noise Filtering. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. Accepted.
Fall 2016 Classes

MATH 221:
R/Calculus I

    Topics studied are limits and continuity; derivatives and antiderivatives of the algebraic and trigonometric functions; the definite integral; and the fundamental theorem of the calculus. Prerequisit
    es: MATH 112 or Precalculus with trigonometry or the equivalent. Offered every semester
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MATH 262:
R/Applied Statistics

    An introduction to statistics with emphasis on applications. Topics include the description of data with numerical summaries and graphs, the production of data through sampling and experimental desig
    n, techniques of making inferences from data such as confidence intervals and hypothesis tests for both categorical and quantitative data. The course includes an introduction to computer analysis of data with a statistical computing package. (Those who have completed MATH 360 may not enroll in this course for credit, and no student may reveive credit for more than one 200-level statisticcs course, including credit for more than one of the following courses: BIOL 250, ECON 205, GEOG 278, MATH 242, MATH 262, PLSC 251, PSYC 250, and SOCL 211.) Offered every semester
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MATH 326:
Differential Equations

    A study of the methods of solving ordinary differential equations, and some of the applications of these equations in the physical sciences and geometry. Prerequisites: MATH 223. Corequisites: MATH 2
    33 or PHYS 228. Offered every semester
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