Department of Statistics, Conference / Seminar

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Publication (84)

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Purutçuoğlu Gazi, Vilda (28)
Yozgatlıgil, Ceylan (15)
Batmaz, İnci (11)
Gökalp Yavuz, Fulya (10)
Akkaya, Ayşen (5)

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Stochastic simulation (3)
Time series (3)
Biochemical systems (2)
Biological networks (2)
Drought (2)

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1997 - 1999 (1)
2000 - 2009 (9)
2010 - 2019 (68)
2020 - 2021 (6)

Recent Submissions

Algorithm Overview and Design for Mixed Effects Models Koca, Burcu; Gökalp Yavuz, Fulya (2021-06-06)
Logistic Growth Modeling Of The Turkish COVID-19 Data ÖZDEMİR, ŞENAY; ARSLAN, OLÇAY; GÜNEY, YEŞİM; Gökalp Yavuz, Fulya; TUAÇ, YETKİN (2020-12-29)
Modeling Turkısh COVID-19 Data Using ARIMA Model Dalkılıç, Hülya; Köprü, Aslıhan Asena; GÜNEY, YEŞİM; TUAÇ, YETKİN; ÖZDEMİR, ŞENAY; Gökalp Yavuz, Fulya; ARSLAN, OLÇAY (2020-12-27)
Linear and Nonlinear Regression with Autoregressive Errors: Application to Covid- 19 Contagion in Turkey GÜNEY, YEŞİM; TUAÇ, YETKİN; ÖZDEMİR, ŞENAY; ARSLAN, OLÇAY; Gökalp Yavuz, Fulya (2020-12-27)
Joint modeling of mean and dispersion of the multivariate laplace distribution ARSLAN, OLÇAY; GÜNEY, YEŞİM; Gökalp Yavuz, Fulya (2020-12-21)
Estimation of AR(1) Model Having Generalized Logistic Disturbances Akkaya, Ayşen; Türker Bayrak, Özlem (null; 2020-01-02) Non-normality is becoming a common feature in real life applications. Using non-normal disturbances in autoregressive models induces non-linearity in the likelihood equations so that maximum likelihood estimators cannot be...
StreamMARS: A Streaming Multivariate Adaptive Regression Splines Algorithm Batmaz, İnci; Adams, Nıall (2019-12-14) Computers and internet have become inevitable parts of our life in the 1990s, and afterwards, bulk of data are started being recorded in digital platforms automatically. To extract meaningful patterns from such data comput...
Hands-on Introduction Course in R Gökalp Yavuz, Fulya (null; 2019-11-28) There is a common sense on the importance of Big Data and Data Science topics in both ‘Academia’ and ‘Industry’. R is one of the interactive application tools which handles the data manipulation, statistical analyses and v...
Bootstrap-based Model Selection Criteria in Biological Networks Kaygusuz, Mehmet Ali; Purutçuoğlu Gazi, Vilda (null; 2019-10-26)
Seven European colorectal cancer predisposing SNPs are associated with CRC and its prognosis in Turkish population Cumaogullari, O.; Charyyeva, S.; Abaci, E.; Bilici, Z.; Ozakinci, H.; Ilk, O.; Kuzu, A.; Ozdag, H. (2019-10-01)
Adaptive estimation of autoregressive models under long-tailed symmetric distribution Yentür, Begüm; Bayrak, Özlem Türker; Akkaya, Ayşen (2019-07-08) In this paper, we consider the autoregressive models where the error term is non-normal; specifically belongs to a long-tailed symmetric distribution family since it is more relevant in practice than the normal distributio...
Calculation of optimal number of Monte Carlo runs for normally distributed datasets Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (null; 2019-03-10)
Estimation of gynecological cancer networks via target proteins Bahçivancı, Başak; Purutçuoğlu Gazi, Vilda; Purutçuoğlu, Eda; Ürün, Yüksel (2018-12-01) Abstract—The construction of biological networks has certain challenges due to its high dimension, sparse structure and very limited number of observations. Thus, specific modeling approaches have been suggested to deal wi...
Examining the maps of air transport network characteristics Kılıç Depren, Serpil; Gökalp Yavuz, Fulya (2018-11-05) Understanding the role of air transportation structure increases the economic and social assets in local and global scale. Identifying that role is required for an effective air transportation management, as well. Differen...
Understanding Drought with Copula Functions: Case Study for Konya Province Evkaya, Ömer Ozan; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (null; 2018-10-07) Drought is one of the most drastic and complex natural phenomenon in the world, a major reason for undesired agricultural, economic and environmental damages. For this reason, the objective identification of drought and it...
Model selection in the construction of biological networks under the steady-state conditions Bülbül, Gül Bahar; Purutçuoğlu Gazi, Vilda (null; 2018-10-04) The model selection is a decision problem to choose which variables should be included in a statistical model among all plausible models that could be constructed. There are many applications of this problem in different f...
Semi-Bayesian Inference of Time Series Chain Graphical Models in Biological Networks Farnoudkia, Hajar; Purutçuoğlu Gazi, Vilda (null; 2018-09-20) The construction of biological networks via time-course datasets can be performed both deterministic models such as ordinary differential equations and stochastic models such as diffusion approximation. Between these two b...
Detection of Binding Sites of Chip-seq Data via Hidden Markov Model and Frequentist Inference of Model Parameters Doğan Dar, Elif; Purutçuoğlu Gazi, Vilda (2018-06-27) The hidden Markov model (HMM) is one of the major modeling approaches that is based on the graphical representation inthe form of a chain. In this structure, we have a sequence of multinomial “state...
Modeling of Breast and Gynecological Cancers Data and Investigating New Biological Findings Ağyüz, Umut; Purutçuoğlu Gazi, Vilda (null; 2018-06-27) The breast and gynecological cancers are two most common fatal cancers’ types in women in the world [1]. In oncological literature, these two cancers types are typically worked together since they are the risk factors of e...
Maximum Loss of Spectrally Negative Lévy Processes Vardar Acar, Ceren; Çağlar, Mine (null; 2018-06-21) The joint distribution of the maximum loss and the maximum gain is obtained for a spectrally negative L,vy process until the passage time of a given level. Their marginal distributions up to an independent exponential time...

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