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Department of Statistics, Thesis
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Yakamoz and Sunshine: Two novel time series anomaly detection methods
Boğazlıyan, Metin; Yozgatlıgil, Ceylan; Department of Statistics (2021-6)
In modern society, availability and reliability of data have become crucial. Hence, one important task for a variety of fields is to detect abnormal instances in data. One of the objectives of identification of anomalies i...
Longitudinal models for life expectancy at birth in Turkey
Asker, Özlem; İlk Dağ, Özlem; Department of Statistics (2021-1-15)
World Health Organization (WHO) gives the definition of life expectancy at birth as ―the average number of years that a newborn is expected to live if current mortality rates continue to apply‖. Life expectancy at birth is...
Bayesian model pooling for the analysis of generalized linear models with missing-not-at-random covariates
Çiftçi, Sezgin; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2020-9)
Missing data in modeling is one of the main problems of researchers. If the missingness mechanism is related to the value of the variable itself, then the missing is defined as not-at-random (MNAR). Additionally, finding t...
Data mining analysis of economic indicators of countries
Güngör, Erdem; Yozgatlıgil, Ceylan; Department of Statistics (2020-8)
Data Mining is becoming a famous analysis day by day to reveal the hidden information within big data. In the study, we use data mining techniques on the economic indicators of the countries. The four data mining technique...
Graphical models in inference of biological networks
Farnoudkia, Hajar; Purutçuoğlu Gazi, Vilda; Department of Statistics (2020)
In recent years, particularly, on the studies about the complex system’s diseases, better understanding the biological systems and observing how the system’s behaviors, which are affected by the treatment or similar condit...
Modeling longitudinal interruption data from Turkish electricity distribution companies
Korkmaz, Zülfiye Ebru; İlk Dağ, Özlem; Department of Statistics (2019)
In recent years, many developments have been implemented by the players of the sector to provide sustainable energy flow in Turkey. One of them is the obligation of recording electricity interruption statistics. The Turkis...
Mean homogeneity tests under the violation of the assumptions
Sakmar, Elçin; Kalaylıoğlı, Zeynep Işıl,; Department of Statistics (2019)
In social, educational and health sciences, obtained data are generally non-normal and heterogeneous although many methods expect one or more assumptions to be satisfied. However, there is still a need for an extensive Mon...
Adaptive inference of autoregressive models under nonnormality
Yentür, Begüm; Dener Akkaya, Ayşen.; Department of Statistics (2019)
Recently, non-normal innovations in autoregressive models have become prevalent in many applications. In this case, it is known that the least squares (LS) estimators are neither efficient nor robust. Also, obtaining maxim...
Various parameter estimation techniques for stochastic differential equations
Ergişi, Semi; Vardar Acar, Ceren; Department of Statistics (2019)
Dynamic systems appear in many fields from economics to physics, from biology toengineering include randomness. Therefore, stochastic differential equations are oneof the necessary mathematical tools to model dynamic syste...
Modelling and forecasting age-segmented mortality: evaluation of lLe-Carter method and its extensions
Alşan Kılıç, Raife Sıda; Sürücü, Barış; Department of Statistics (2019)
Mortality dynamics deal with the human mortality from birth to death giving insights for the population in different aspects; age, year, gender and enable to ascertain crucial mortality trends as well. Over the last decade...
Multi-criteria decision making in site selection for nuclear power plants
Tuncer, Berna; Dener Akkaya, Ayşen.; Department of Statistics (2019)
Nuclear energy is an important alternative energy source. However the construction of nuclear power plants (NPP) requires the consideration of various factors, such as environmental, economic, socioeconomic, health and saf...
Model comparison for gynecological cancer datasets and selection of threshold value
Bahçivancı, Başak; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019)
Cancer is a very common system’s disease with its structural and functional complexities caused by high dimension and serious correlation of genes as well as sparsity of gene interactions. Hereby, different mathematical mo...
A comparative study of classical and machine learning approaches for time series forecasting: an empirical analysis on exports in Turkey
Günel, Eda; Yozgatlıgil, Ceylan; Department of Statistics (2019)
Exports has become one of the main economic indicator for countries. Accordingly, an accurate forecasting for exports is an important step for decision making and finding the most appropriate forecasting model constitutes ...
Inference of large-scale networks via statistical approaches
Ayyıldız Demirci, Ezgi; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019)
In system biology, the interactions between components such as genes, proteins, can be represented by a network. To understand the molecular mechanism of complex biological systems, construction of their networks plays a c...
Performance comparison of filtering methods on modelling and forecasting total precipitation amount
Ünal, Ecem; Yozgatlıgil, Ceylan; Department of Statistics (2019)
The performance of condensed water vapour in the atmosphere observed as precipitation on the earth surface with the consequence of gravity. It is hard to observe and measure the amount and concentration of total precipitat...
Parameter estimation in merton jump diffusion model
Özdemir, Tuğcan Adem; Vardar Acar, Ceren; Department of Statistics (2019)
Over the years, jump diffusion models become more and more important. They areused for many purposes in several branches such as economics, biology, chemistry,physics, and social sciences. The reason for prevalent usage ...
Novel model selection criteria on high dimensionalbiological networks
Bülbül, Gül Baha; Purutçuoğlu Gazi, Vilda; Department of Statistics (2019)
Gaussian graphical model (GGM) is an useful tool to describe the undirected associ-ations among the genes in the sparse biological network. To infer such high dimen-sional biological networks, thel1-penalized maximum-like...
Micro-level analysis of unregistered employment in Turkey with group comparisons
İner, Mehmet; Akkaya, Ayşen D.; Department of Statistics (2019)
Group comparison of logistic regression models in a similar way with OLS is manipulating depending on the unobserved heterogeneity in logistic regression. In this sense, this study focuses on the group comparison problem i...
Multi-hazard reliability of electric power transmission networks with spatially correlated components
Altay, Umut; Dener Akkaya, Ayşen.; Department of Statistics (2019)
Many network systems such as, gas and water pipelines, power transmission and distribution systems, highways and communication systems extend spatially over large geographical regions. Such network systems are composed of ...
Comparison of iterative algorithms for parameter estimation in nonlinear regression
Musluoğlu, Gamze; Akkaya, Ayşen; Department of Statistics (2018)
Nonlinear regression models are more common as compared to linear ones for real life cases e.g. climatology, biology, earthquake engineering, economics etc. However, nonlinear regression models are much more complex to fit...
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