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

https://go.geneseo.edu/bilgic

 
 

Yusuf Kenan Bilgiç

Assistant Professor

of Statistics

South Hall 324A
1 College Circle
Geneseo, NY 14454
245-5484
bilgic@geneseo.edu

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

Education

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

Employment

  • 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 http://CRAN.R-project.org/package=rlme. 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, http://dx.doi.org/10.1016/j.ijer.2013.06.012.
  • 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.
Spring 2016 Classes

INTD 388:
Exp:Multivariate Statistics

    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
    Read more.

    MATH 361:
    Statistics

      Sampling distributions, point and interval estimation, and tests of hypothesis. Topics also include: regression and correlation, the analysis of variance, and nonparametric statistics. Prerequisites:
      MATH 360 or permission of the instructor. Offered every spring
    Read more.