Ph. D. Students:

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 Automotive Sector (Co-advisor: Prof. Dr. Tuğba Temizel Taşkaya)

Topallar Sarp Tuğberk (2022) Probabilistic Forecasting of Multiple Time Series with Single Recurrent Neural Network