Dr. Öğr. Üyesi HAJAR FARNOUDKIA

İngilizce İşletme Programı



Tel : 0312 246 6666 / 2149
E-Posta : hajerfarnoudkia[at]baskent.edu.tr
  • Doktora (2020), Orta Doğu Teknik Üniversitesi, İstatistik
  • Yüksek Lisans (2010), University Of Tabriz, İstatistik
  • Lisans (2008), University Of Tabriz, İstatistik

Çalışma Alanları


  • İSTATİSTİK

Kitaplar


  • Purutçuoğlu V, Farnoudkia H. 14 Vine copula and artificial neural network models to analyze breast cancer data. In:Deepak Gupta, Nhu Gia Nguyen,Ashish Khanna, Siddhartha Bhattacharyya editors. In Artificial Intelligence for Data-Driven Medical Diagnosis. Berlin/Boston: De Gru yter; 2021. p.287-304.

Makaleler


  • Farnoudkia H, Purutçuoğlu V. Vine Copula Graphical Models in the Construction of Biological Networks. Hacettepe Journal of Mathematics and Statistics, 2021; 31:1-13. ( SSCI : Social Sciences Citation Index )

  • Farnoudkia H, Purutçuoğlu V. Application of R-vine copula method in Istanbul stock market data: A case study for the construction sector. Journal of Turkish Operations Management, 2020; 4(2):509-518.

  • Fathiyousefabad M, Farnoudkia H. The Effect of Using TV Advertisements on Iranian EFL Learners? Vocabulary Acquisition and Listening Comprehension. ELT Research Journal, 2020; 9(1):108-122.

  • Gencağa D, Şengül Ayan S, Farnoudkia H, Okuyucu S. Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise. Entropy, 2020; 22(4):387-387. ( SSCI : Social Sciences Citation Index )

  • Purutçuoğlu V, Farnoudkia H. Copula Gaussian graphical modelling of biological networks and Bayesian inference of model parameters.. Scientia Iranica, 2019; 26(4):2495-2505. ( SSCI : Social Sciences Citation Index )

  • Purutçuoğlu V, Farnoudkia H. Gibbs Sampling in Inference of Copula Gaussian Graphical Model Adapted to Biological Networks. Acta Physica Polonica, 2017; 132(3):1112-1117. ( SCI-Exp : Science Citation Index-Expanded (SCI dahil) )

Bildiriler


  • Farnoudkia H, Purutçuoğlu V. Non-Gaussian model construction of biological networks via copulas. The 2nd Euroasia Biochemical Approaches and Technologies Congress (EBAT 2019): Antalya; 26/10/2019 - 29/10/2019

  • Farnoudkia H, Purutçuoğlu V. Vine Copula Graphical Models in the Construction of Biological Networks. 5th International Conference on Engineering Sciences (ICES 2019): Ankara; 19/09/2019

  • Farnoudkia H, Purutçuoğlu V. Nested Bayesian inference algorithm in the construction of time-course biological networks data. International Conference on Applied Analysis and Mathematical Modeling (ICAAMM 2019): İstanbul; 20/06/2019 - 24/06/2019

  • Farnoudkia H, Purutçuoğlu V. Expectation-maximization algorithm for inference of time series chain graphical model. The 5th International Conference on Computational and Experimental Science and Engineering (ICCESEN 2018): Antalya; 12/10/2018 - 16/10/2018

  • Farnoudkia H, Purutçuoğlu V. Semi-Bayesian inference of time series chain graphical model in biological network. International Conference on Innovative Engineering Applications (CIEA 2018): Sivas; 20/09/2018 - 22/09/2018

  • Farnoudkia H, Purutçuoğlu V. Inference of time series chain graphical model. International Conference on Mathematics (ICOMATH 2018),: İstanbul; 01/07/2018 - 03/07/2018

  • Purutçuoğlu V, Farnoudkia H. Modelling of biological networks via copula Gaussian graphical model and Bayesian inference of model parameters. The 2nd Researchers-Statisticians and Young Statisticians Congress (IRSYSC): Konya; 24/05/2017 - 26/05/2017

  • Purutçuoğlu V, Farnoudkia H. Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method. Istanbul International Conference on Progress in Applied Science (ICPAS 2017),: İstanbul; 04/01/2017 - 06/01/2017

  • Purutçuoğlu V, Farnoudkia H. Acceleration of reversible jump Markov chain Monte Carlo method within Gaussian copula graphical model. 3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN- 2016),: Antalya; 19/10/2016 - 24/10/2016

  • Farnoudkia H. Gibbs Sampling vs RJMCMC. Numerical Analysis of Stochastic Partial Differential Equations (NASPDE2016): Sweden- Gothenburg; 06/09/2016 - 07/09/2016

  • Purutçuoğlu V, Farnoudkia H. Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method. 8th International Conference Inverse Problems: Modeling and Simulation (IPMS-2016): Fethiye; 23/05/2016 - 28/05/2016