Ph. D. Students:
Şimşek Meral Fluctuation theory of omega-killed Lévy processes Orta Doğu Teknik Üniversitesi – Ph.D. degree (Co-advisor: Prof. Appostolos)
Oflaz Zarina (2022) Coupled Hidden Markov model with bivariate discrete copula to study comorbidity of chronic diseases – Ph.D. degree (Co-advisor: Prof. A. Sevtap Selçuk-Kestel)
Aslan Sipan (2022) Temporal Clustering of Multivariate Time Series – Ph.D. degree (Co-advisor: Prof. Cem İyigün)
Boğazlıyan Metin (2021) Yakamoz and Sunshine: Two Novel Time Series Anomaly Detection Methods – Ph.D. degree
Evkaya, O. Ozan (2018) Mixture of Vines for Dependence Modeling: Finite Mixture and CD-Vine Approaches with Applications (Co-advisor: Prof. Dr. A Sevtap Selcuk-Kestel) Ph.D. degree
Yazıcı Ceyda, (2017) A Computational Approach to Detect Inhomogeneities in Time Series Data (Co-advisor: Prof. Dr. İnci Batmaz) Ph.D. degree
M.Sc. Students:
Ortakaya Ahmet Fatih, (2009). Multivariate time series modeling of the number of applicants and beneficiary households for conditional cash transfer program in Turkey
Tüker Utku Göksel, (2010). The application of disaggregation methods to the unemployment rate of Turkey
Sarıaslan Nazlı, (2010). The effect of temporal aggregation on univariate time series analysis
Aslan Sipan, (2010). Comparison of missing value imputation methods for meteorological time series data
Kiribaki Wilberforce, (2012). Analysis of gas prices for Turkey from 2003-2011
Çakmak Mehmet, (2014). Statistical analysis of electricity energy consumption with respect to provinces in Turkey (Co-advisor: Assoc. Prof.Dr. Ozlem Ilk Dag)
Dağ Osman, (2015). GMDH-type neural network algorithms for short term forecasting
Zakeri Seyed Amir Hamed, (2015). Time series analysis and forecasting electricity prices in Turkey (Co-advisor: Assoc. Prof. Dr. Ömür Uğur)
Yaman Nevin, (2015). Modelling precipitation data of certain regions for Turkey via hidden Markov models (Advisor: Prof. Dr. İnci Batmaz)
Boğazlıyan Metin, (2015). Time series analysis of Turkish exports of selected ores and concentrates
Oflaz Zarina, (2016). Bivariate Hidden Markov Model to capture the dependency in claim estimate (Co-advisor: Assoc. Prof. Dr. A. Sevtap Kestel)
Akpiliç Ferdi, (2016). The relationship between unemployment rate and growth: time serıes approach for Turkey
Akca Elif, (2017). A Novel Algorithm for Time Series Model Selection: Mutual Information Model Selection Algorithm (MIMSA)
Yıldırım Özgecan, (2017). One-Way ANOVA for Time Series Data with Non-Normal Innovations: An Application to Unemployment Rate Data (Co-advisor: Prof. Dr. Birdal Şenoğlu)
Tas, Busra (2018) Electricity Price Forecasting Using Hybrid Time Series Models
Aydemir Petek (2018) Performance of Ensemble Forecasting Tools for Analysis Turkish Consumer Price Index
Günel Eda (2020) A Comparative Study of Classical and Machine Learning Approaches for Time Series Forecasting: An Empirical Analysis on Exports in Turkey
Özdemir Ozancan (2020) Performance Comparison of Machine Learning Methods and Traditional Time Series Methods for Forecasting
Güngör Erdem (2020) Data Mining Analysis of Economic Indicators of Countries
Sayın M. Gözde (2021) Performance of Machine Learning Algorithms on Financial Time Series Data (Co-advisor: Prof. Dr. Ömür Uğur)
Teköz Begüm (2022) Forecasting Warranty Claims for Month in Services in the Automotive Sector (Co-advisor: Prof. Dr. Tuğba Temizel Taşkaya)
Topallar Sarp Tuğberk (2022) Probabilistic Forecasting of Multiple Time Series with Single Recurrent Neural Network
Doğan Sevilay (2022) The forecast performance of classical time series models and machine learning algorithms on bitcoin series using exogenous variables
Tosun İlayda (2023) Seasonal adjustment of high-frequency time series
Gezgen Didem (2023) Comparison of missing data imputation methods applied to daily temperature and precipitation data in Turkey
Parlak Fatma (2023) The forecast performances of the classical time series model and machine learning algorithms on the BIST-50 price index using exogenous variables
Yaz Furkan (2023) Audio classification based on machine learning: Understanding animal behavior through sound
Bi Mehmet (2024) Comparative performance analysis of variable selection methods in linear: A full factorial design simulation study