{"id":46,"date":"2021-09-28T11:47:41","date_gmt":"2021-09-28T08:47:41","guid":{"rendered":"https:\/\/blog.metu.edu.tr\/ceylan\/?page_id=46"},"modified":"2024-10-25T10:15:23","modified_gmt":"2024-10-25T07:15:23","slug":"grad-students","status":"publish","type":"page","link":"https:\/\/blog.metu.edu.tr\/ceylan\/grad-students\/","title":{"rendered":"GRAD STUDENTS"},"content":{"rendered":"<p><strong>Ph. D. Students:<\/strong><\/p>\n<p>\u015eim\u015fek Meral Fluctuation theory of omega-killed L\u00e9vy processes Orta Do\u011fu Teknik \u00dcniversitesi &#8211; Ph.D. degree (Co-advisor: Prof. Appostolos)<\/p>\n<p>Oflaz Zarina (2022) Coupled Hidden Markov model with bivariate discrete copula to study comorbidity of chronic diseases &#8211; Ph.D. degree (Co-advisor: Prof. A. Sevtap Sel\u00e7uk-Kestel)<\/p>\n<p>Aslan Sipan (2022) Temporal Clustering of Multivariate Time Series &#8211; Ph.D. degree (Co-advisor: Prof. Cem \u0130yig\u00fcn)<\/p>\n<p>Bo\u011fazl\u0131yan Metin (2021) Yakamoz and Sunshine: Two Novel Time Series Anomaly Detection Methods &#8211; <em>Ph.D. degree<\/em><\/p>\n<p>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) <em>Ph.D. degree<\/em><\/p>\n<p>Yaz\u0131c\u0131 Ceyda, (2017) A Computational Approach to Detect Inhomogeneities in Time Series Data (Co-advisor: Prof. Dr. \u0130nci Batmaz) <em>Ph.D. degree<\/em><\/p>\n<p><strong>M.Sc. Students:<\/strong><\/p>\n<p>Ortakaya Ahmet Fatih, (2009). Multivariate time series modeling of the number of applicants and beneficiary households for conditional cash transfer program in Turkey<\/p>\n<p>T\u00fcker Utku G\u00f6ksel, (2010). The application of disaggregation methods to the unemployment rate of Turkey<\/p>\n<p>Sar\u0131aslan Nazl\u0131, (2010). The effect of temporal aggregation on univariate time series analysis<\/p>\n<p>Aslan Sipan, (2010). Comparison of missing value imputation methods for meteorological time series data<\/p>\n<p>Kiribaki Wilberforce, (2012). Analysis of gas prices for Turkey from 2003-2011<\/p>\n<p>\u00c7akmak Mehmet, (2014). Statistical analysis of electricity energy consumption with respect to provinces in Turkey (Co-advisor: Assoc. Prof.Dr. Ozlem Ilk Dag)<\/p>\n<p>Da\u011f Osman, (2015). GMDH-type neural network algorithms for short term forecasting<\/p>\n<p>Zakeri Seyed Amir Hamed, (2015). Time series analysis and forecasting electricity prices in Turkey (Co-advisor: Assoc. Prof. Dr. \u00d6m\u00fcr U\u011fur)<\/p>\n<p>Yaman Nevin, (2015). Modelling precipitation data of certain regions for Turkey via hidden Markov models (Advisor: Prof. Dr. \u0130nci Batmaz)<\/p>\n<p>Bo\u011fazl\u0131yan Metin, (2015). Time series analysis of Turkish exports of selected ores and concentrates<\/p>\n<p>Oflaz Zarina, (2016). Bivariate Hidden Markov Model to capture the dependency in claim estimate (Co-advisor: Assoc. Prof. Dr. A. Sevtap Kestel)<\/p>\n<p>Akpili\u00e7 Ferdi, (2016). The relationship between unemployment rate and growth: time ser\u0131es approach for Turkey<\/p>\n<p>Akca Elif, (2017). A Novel Algorithm for Time Series Model Selection: Mutual Information Model Selection Algorithm (MIMSA)<\/p>\n<p>Y\u0131ld\u0131r\u0131m \u00d6zgecan, (2017). One-Way ANOVA for Time Series Data with Non-Normal Innovations: An Application to Unemployment Rate Data (Co-advisor: Prof. Dr. Birdal \u015eeno\u011flu)<\/p>\n<p>Tas, Busra (2018) Electricity Price Forecasting Using Hybrid Time Series Models<\/p>\n<p>Aydemir Petek (2018) Performance of Ensemble Forecasting Tools for Analysis Turkish Consumer Price Index<\/p>\n<p>G\u00fcnel Eda (2020) A Comparative Study of Classical and Machine Learning Approaches for Time Series Forecasting: An Empirical Analysis on Exports in Turkey<\/p>\n<p>\u00d6zdemir Ozancan (2020) Performance Comparison of Machine Learning Methods and Traditional Time Series Methods for Forecasting<\/p>\n<p>G\u00fcng\u00f6r Erdem (2020) Data Mining Analysis of Economic Indicators of Countries<\/p>\n<p>Say\u0131n M. G\u00f6zde (2021) Performance of Machine Learning Algorithms on Financial Time Series Data (Co-advisor: Prof. Dr. \u00d6m\u00fcr U\u011fur)<\/p>\n<p>Tek\u00f6z Beg\u00fcm (2022) Forecasting Warranty Claims for Month in Services in the Automotive Sector (Co-advisor: Prof. Dr. Tu\u011fba Temizel Ta\u015fkaya)<\/p>\n<p>Topallar Sarp Tu\u011fberk (2022) Probabilistic Forecasting of Multiple Time Series with Single Recurrent Neural Network<\/p>\n<p>Do\u011fan Sevilay (2022) The forecast performance of classical time series models and machine learning algorithms on bitcoin series using exogenous variables<\/p>\n<p>Tosun \u0130layda (2023) Seasonal adjustment of high-frequency time series<\/p>\n<p>Gezgen Didem (2023) Comparison of missing data imputation methods applied to daily temperature and precipitation data in Turkey<\/p>\n<p>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<\/p>\n<p>Yaz Furkan (2023)\u00a0 Audio classification based on machine learning: Understanding animal behavior through sound<\/p>\n<p>Bi Mehmet (2024) Comparative performance analysis of variable selection methods in linear: A full factorial design simulation study<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ph. D. Students: \u015eim\u015fek Meral Fluctuation theory of omega-killed L\u00e9vy processes Orta Do\u011fu Teknik \u00dcniversitesi &#8211; Ph.D. degree (Co-advisor: Prof. Appostolos) Oflaz Zarina (2022) Coupled Hidden Markov model with bivariate discrete copula to study comorbidity of chronic diseases &#8211; Ph.D. degree (Co-advisor: Prof. A. Sevtap Sel\u00e7uk-Kestel) Aslan Sipan (2022) Temporal Clustering of Multivariate Time Series [&hellip;]<\/p>\n","protected":false},"author":6711,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-46","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages\/46","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/users\/6711"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":0,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages\/46\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/media?parent=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}