Assoc. Prof.

Cemal Deniz Yenigün

+90 212 311 7440

Santralistanbul / E3 214

Academic Background

  • 2007, Ph.D., Statistics, Bowling Green State University, Bowling Green, Ohio, USA
  • 2002, M.S., Statistics, Middle East Technical University, Ankara, Turkey
  • 1999, B.S., Statistics, Middle East Technical University, Ankara, Turkey


Academic Appointments

  • 2016-present, Associate Professor, İstanbul Bilgi University, Department of Industrial Engineering, İstanbul, Turkey
  • 2014-2016, Assistant Professor, İstanbul Bilgi University, Department of Industrial Engineering, İstanbul, Turkey
  • 2007-2014, Assistant Professor, Bilkent University, Faculty of Business Administration, Ankara, Turkey

Academic Administrative Duties

  • Department Chair, Department of Industrial Engineering, Istanbul Bilgi University, 2018 - present
  • Member of Faculty Executive Board, Faculty of Engineering and Natural Sciences, Istanbul Bilgi University, May 2018 - May 2021
  • Member of Faculty Board, Faculty of Engineering and Natural Sciences, Istanbul Bilgi University, October 2016 - present


Research Interests

  • Variable Selection
  • Reliability and Survival Analysis
  • Measures of Dependence
  • Network Analysis



  • Introduction to Probability (IE 231)
  • Engineering Statistics (IE 232)
  • Quality Control and Management (IE 343)
  • Reliability (IE 344)
  • Data Science for Engineers (IE 421)
  • Engineering Data Analytics (IE 422)


Funded Research

  • TÜBİTAK Grant 110T668. Alternative comparison criteria in model selection: Maximal correlation and distance correlation. Principal investigator. May 2011 to May 2013.
  • TÜBİTAK Grant110M307. Optimization of product-emission and carbon trading processes under the carbon trade mechanism, and statistical analysis of carbon market data. Researcher, with Ü. Gürler (principal investigator), E. Berk and A. Yıldırım (researchers). December 2010 to December 2012.



  • Yenigün, C.D., Ertan, G., Siciliano, M.D., 2016. cssTools: Cognitive Social Structure Tools. An R package for estimating a network from a random sample of cognitive social structure (CSS) slices. R package version 1.0.

Selected Publications

  • Yıldız, Ö., Yenigün, C.D., 2021. Prognostic value of right ventricular cardiac power output at rest in patients with advanced heart failure. Acta Cardiologica Sinica, Volume 37, 404-411. DOI: 10.6515/ACS.202107 37(4).20210123A
  • Ertan, G., Yenigün, C.D., Siciliano, M.D., 2019. Perception accuracy, biases and path dependency in longitudinal social networks. PLoS ONE 14(6): e0218607. DOI:10.1371/journal.pone.0218607
  • Yıldız, Ö., Aslan, G., Demirözü, Z.T., Yenigün, C.D., Yazıcıoğlu, N., 2017. Evaluation of resting cardiac power output as a prognostic factor in patients with advanced heart failure. The American Journal of Cardiology, Volume 120, 973-979. DOI:10.1016/j.amjcard.2017.06.028
  • Yenigün, C.D., Ertan, G., Siciliano, M.S., 2017. Omission and commission errors in network cognition and network estimation using ROC curve. Social Networks, Volume 50, 26-34. DOI: 10.1016/j.socnet.2017.03.007 
  • Gürler, Ü. and Yenigün, C.D., 2017. Hazard Change Point Estimation. Wiley StatsRef: Statistics Reference Online, 1–13. DOI: 10.1002/9781118445112.stat02203.pub2
  • Gürler, Ü., Yenigün, C.D., Çağlar, M., Berk, E., 2016. On the Modeling of CO2 EUA and CER Prices of EU‐ETS for the 2008–2012 Period. Applied Stochastic Models in Business and Industry, Volume 32, 375-395.  DOI: 10.1002/asmb.2154
  • Yenigün, C.D., Rizzo, M.L., 2014. Variable Selection in Regression using Maximal Correlation and Distance Correlation. Journal of Statistical Computation and Simulation, Volume 85, Issue 8, 1692-1705. DOI: 10.1080/00949655.2014.895354
  • Siciliano, M., Yenigün, D., Ertan, G., 2012. Estimating network structure via random sampling: Cognitive social structures and the adaptive threshold method. Social Networks, Volume 34, Issue 4, 585-600. DOI:10.1016/j.socnet.2012.06.004
  • Yenigün, C.D., Szekely, G.J., and Rizzo, M.L., 2011. A test of independence in two-way contingency tables based on maximal correlation. Communications in Statistics: Theory and Methods, Volume 40, Issue 12, 2225-2242. DOI:10.1080/03610921003764274
  • Gürler, Ü., Yenigün, C.D., 2011. Full and Conditional Likelihood Approaches for Hazard Change-Point Estimation with Truncated and Censored Data. Computational Statistics and Data Analysis, Volume 55, Issue 10, 2856-2870. DOI:10.1016/j.csda.2011.04.014