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İngilizce İşletme Programı
hajerfarnoudkia[at]baskent.edu.tr
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  • Doktora, (2020), Orta Doğu Teknik Üniversitesi, İstatistik

  • Yüksek Lisans, (2010), Tabrız Ünıversıtesı, İstatistik ve Bilgisayar Bilimleri

  • Lisans, (2008), Tabrız Ünıversıtesı, İstatistik ve Bilgisayar Bilimleri

  • 1  Evaluating efficiency of cloud service providers in era of digital technologies, ANNALS OF OPERATIONS RESEARCH, 1(1), 2023

    Majid Azadi, Mehdi Toloo, Fahimeh Ramezani, Reza Farzippor Saen, Farookh Khadir Hussein, Dr. Öğr. Üyesi Hajar Farnoudkıa
    2  Malmquist Index Evaluation of Countries: 2000-2019, RAIRO-OPERATIONS RESEARCH, 1(0), 2023

    Dr. Öğr. Üyesi Hajar Farnoudkıa
    3  The Inference of Complicated Networks by Mutual Information, Journal of Turkish Operations Management, 7(1), 2023

    Dr. Öğr. Üyesi Hajar Farnoudkıa
    4  Vine Copula Graphical Models in the Construction of Biological Networks, Hacettepe Journal of Mathematics and Statistics, 31(0), 2021

    Dr. Öğr. Üyesi Hajar Farnoudkıa, Vilda Purutçuoğlu
    5   Application of R-vine copula method in Istanbul stock market data: A case study for the construction sector, Journal of Turkish Operations Management, 4(2), 2020

    Dr. Öğr. Üyesi Hajar Farnoudkıa, Vilda Purutçuoğlu
    6  Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise, Entropy, 22(4), 2020

    Dr. Öğr. Üyesi Hajar Farnoudkıa, Orhan Deniz Gencağa, Sevgi Şengül Ayan, Serdar Okuyucu
    7  Copula Gaussian graphical modelling of biological networks and Bayesian inference of model parameters., Scientia Iranica, 26(4), 2019

    Dr. Öğr. Üyesi Hajar Farnoudkıa, Vilda Purutçuoğlu
    8  Gibbs Sampling in Inference of Copula Gaussian Graphical Model Adapted to Biological Networks, ACTA PHYSICA POLONICA A, 132(3), 2017

    Dr. Öğr. Üyesi Hajar Farnoudkıa, Vilda Purutçuoğlu
    1  Assessing Circular Economy Performance in European Nations: A stochastic Data Envelopment Analysis Approach, International Conference on DEA45, 04.09.2023

    Behrooz Arabi, Dr. Öğr. Üyesi Hajar Farnoudkıa
    2  Random Forest method in the inference of the relationship between neurons in Hodgkin?Huxley model, 6th International Conference on Engineering Sciences (ICES 2022), 14.01.2023

    Dr. Öğr. Üyesi Hajar Farnoudkıa
    3  A review on 50 years in fractional programming, 19th International Conference on Operational Research (KOI2022), 24.09.2022

    Mehdi Toloo, Dr. Öğr. Üyesi Hajar Farnoudkıa
    4  Vine Copula Graphical Models in the Construction of Biological Networks, 5th International Conference on Engineering Sciences (ICES 2019), 19.09.2019

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    5  Nested Bayesian inference algorithm in the construction of time-course biological networks data, Proceeding of the International Conference on Applied Analysis and Mathematical Modeling (ICAAMM 2019),, 02.08.2019

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    6  Semi-Bayesian Inference of Time Series Chain Graphical Models in Biological Networks, International Conference on Innovative Engineering Applications (CIEA’2018), 20.09.2018

    Vilda Purutcuoglu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    7  Inference of time series chain graphical model, Proceeding of the International Conference on Mathematics (ICOMATH 2018), 02.06.2017

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    8  Bayesian inference of biological networks whose components are linearly dependent, Proceeding of Istanbul International Conference on Progress in Applied Science (ICPAS 2017), 01.06.2017

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    9  Acceleration of reversible jump Markov chain Monte Carlo method within Gaussian copula graphical model, International Conference on Computational and Experimental Science and Engineering (ICCESEN-2016),, 19.10.2016

    Vilda Purutcuoglu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    10  Comprehensive analyses of Gaussian graphical model under different biological networks?, 3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN-2016),, 19.10.2016

    Vilda Purutcuoglu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    11  Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method, proceeding of the 8th International Conference Inverse Problems: Modeling and Simulation (IPMS-2016), 15.10.2016

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    12  Acceleration of reversible jump Markov chain Monte Carlo method within Gaussian copula graphical model, Proceeding of the 3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN- 2016),, 01.10.2016

    Vilda Purutcuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    13  ?Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method?,, 8th International Conference Inverse Problems: Modeling and Simulation (IPMS-2016), 19.05.2016

    Vilda Purutcuoglu, Dr. Öğr. Üyesi Hajar Farnoudkıa

    Editör Bilgileri

    1  Operations Research, New Paradigms and Emerging Applications, İlk Baskı, Taylor and Francis group, 2022

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa, William Weber

    Kitap Bölümü Bilgileri

    2  11 Bayesian Inference for Undirected Network Models, In:Operations Research, New Paradigms and Emerging Applications, 219-238, 2022

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    3  14 Vine copula and artificial neural network models to analyze breast cancer data, In:In Artificial Intelligence for Data-Driven Medical Diagnosis, 287-304, 2021

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
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    1 Investigation of the Role of brain-oriented Noise in the Interaction between Neurons using information theory, Girişimcilik, Araştırmacı, 01.06.2019

    Orhan Deniz Gencağa, Dr. Öğr. Üyesi Hajar Farnoudkıa
    2 The Application of Copulas in the Inference of Biological Networks via Gaussian Graphical Models and Parameter Estimation.- TUBİTAK 1001 , Girişimcilik, Araştırmacı, 01.04.2015

    Vilda Purutçuoğlu, Dr. Öğr. Üyesi Hajar Farnoudkıa
    ARAŞTIRMA YÖNTEMLERİ
    ARAŞTIRMA YÖNTEMLERİ VE ARAŞTIRMA ETİĞİ
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