Department of Statistics

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Publication (622)
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Purutçuoğlu Gazi, Vilda (134)
Başbuğ Erkan, Berna Burçak (77)
Yozgatlıgil, Ceylan (60)
Kalafat, Erkan (48)
Gökalp Yavuz, Fulya (41)

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Statistics and Probability (46)
Statistics, Probability and Uncertainty (29)
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Recent Submissions

The grandparent effect: Does a new grandchild change how long you expect to live?
Kibar, Zehra Sena (2026-12-01)
This study examines the causal effect of being a first-time grandparent on individuals' subjective survival probabilities. Analyses are conducted using Waves 4–6 (2011–2015) of Survey of Health, Aging and Retirement in Eur...
Google trends analysis of emerging tobacco and nicotine products in countries with the highest tobacco production and marketing between 2015 and 2024
Uğurlu, Gökçe; Erkaya, Pelin; Yozgatlıgil, Ceylan; Aslan, Dilek (2026-08-01)
ECG arrhythmia classification using cyclic transformations and regression-based features
Karakaya, Şule Şevval; Purutçuoğlu Gazi, Vilda (2026-08-01)
Visual Ambiguity Constrains Motor Prediction And Corticospinal Excitability In Humans
Kılınç, Hasan; Şengezer, Sabahat; Pourreza, Elmira; Okasha, Amr; Fincan, Ayşe Ceren; Ünal, Çağrı Temuçin; Ünal, Bengi; Yozgatlıgil, Ceylan; Turgut, Ali Emre; Boran, Hürrem Evren; Arıkan, Kutluk Bilge; Cengiz, Bülent (2026-08-01)
Augmenting Legal Reasoning with BERT: The Second Iteration of Bekenbey AI
Deveci, Ali; Erkan, Mehmet Ali; Medeni, İhsan Tolga; Medeni, Tunç Durmuş (2026-07-01)
In recent years, the rapid advancement of technology has necessitated the use of machine learning models and artificial intelligence systems not only in the field of engineering but also in the resolution of complex proble...
A Compositional Data Analysis Framework for Diagnosing {LLM} Reasoning over Time Series Anomalies
Erkan, Mehmet Ali; Yozgatlıgil, Ceylan; Akyıldız, Elif Beyza (2026-06-30)
Large language models are increasingly applied to structured time series reasoning tasks, yet how they allocate attention across sensor channels and whether that allocation reflects prediction quality remains poorly under...
Histopathologic Validity and Clinical Reliability of Wolters Classification of Pulpitis: An Exploratory Study
Yilmaz, Cagla Fatmanur; BARIŞ, EMRE; İlk Dağ, Özlem; KAYAOĞLU, GÜVEN (2026-06-29)
Aim Wolters' classification of pulpitis has been proposed to classify pulpitis into 4 categories (initial, mild, moderate, severe), aiming to guide clinicians to implement the relevant vital endodontic treatment. The main ...
Enhancing IDS Through Multi-Objective Optimization: A Focus on Attack Graph under Worst-Parent Attack
Deveci, Ali; Erkan, Mehmet Ali; Medeni, İhsan Tolga; Medeni, Tunç Durmuş; Uzkafali, Ali; Özkan, Ahmet (2026-06-01)
This study focuses on the evolution of network security models for RPL based LLNs under worst-parent attack. The multi-objective optimization approach integrates additional metrics: i) The amount of change in the maximum p...
Innovative Approaches to High-Energy Gamma Particle Classification: A Coevolutionary Artificial Neural Network for Cherenkov Telescopes
Erkan, Mehmet Ali (2026-06-01)
This study addresses the challenges in analyzing data from a ground-based atmospheric Cherenkov gamma telescope, aiming to simulate and observe high-energy gamma particles. Notable challenges include differentiating sign...
Sustainable science mapping: benchmarking green AI against transformers for cross-disciplinary abstract classification using arXiv
Erkan, Mehmet Ali; Yozgatlıgil, Ceylan (2026-05-01)
Abstract The exponential growth of scholarly literature necessitates automated, scalable systems for organizing knowledge domains. However, text classification of academic abstracts...
A Novel Framework for Next Word Prediction Using Long-Short Term Memory Networks
Deveci, Ali; Erkan, Mehmet Ali; Medeni, Ihsan Tolga; Medeni, Tunç Durmuş (2026-01-01)
Natural Language Processing (NLP) has become a cornerstone in various fields, revolutionizing how machines interpret and process human language. Among its diverse applications, next-word prediction emerges as a highly prac...
TurkishLegalBench: A Comprehensive Multi-Task Benchmark Suite for Turkish Legal NLP
Erkan, Mehmet Ali; Yozgatlıgil, Ceylan (2026)
TurkishLegalBench is a large-scale, multi-task benchmark suite specifically designed for Natural Language Processing (NLP) in the Turkish legal domain. The dataset consists of 38,009 authentic legal documents curated from ...
Robust Modeling of Global Temperature Anomalies (1850–2024)
Atar, Gizem; Purutçuoğlu Gazi, Vilda; Erkuş, Ekin Can; Bursalı, Ahmet (2026-01-01)
Global climate change is reflected in persistent shifts in temperature anomalies, which create challenges for detection and modeling that need to be addressed. A key methodological gap arises in the reliable analysis of lo...
Revealing Cyclic Dynamics in Electricity Consumption: A Hybrid Feature-Based Clustering Framework
Karakaya, Şule Şevval; Purutçuoğlu Gazi, Vilda; Bursalı, Ahmet; Erkuş, Ekin Can (2026-01-01)
The rapid growth of smart metering and sensing systems generates vast amounts of electricity consumption data that providers must analyse carefully to manage resources and costs effectively. This study presents a novel clu...
Data Mining on the Fundamental Factors Influencing Mathematics Achievement: Traditional and Modern Perspectives
Koca, Burcu; Gökalp Yavuz, Fulya (2025-12-01)
Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like student...
The impact of changes in breast density over time on breast cancer risk
Kulturoglu, Mahmut Onur; Aydin, Ferit; Sagdic, Mehmet Furkan; Aslan, Fatih; Oflaz, Zarina; Danisman, Furkan Berk; Kalaylıoğlu Akyıldız, Zeynep Işıl; Dogan, Lutfi (2025-12-01)
Mammographic density is not static; instead, it is influenced by a range of factors, including age, number of births, hormone use, and menopause. The current study aims to evaluate the association between both baseline bre...
6 February 2023 Kahramanmaras Earthquakes: Developing data policies for times of crisis facilitated by open science
Başbuğ Erkan, Berna Burçak (2025-11-11)
Innovative Approaches to High-Energy Gamma Particle Classification: A Coevolutionary Artificial Neural Network for Cherenkov Telescopes
Deveci, Ali; Erkan, Mehmet Ali; Medeni, İhsan Tolga; Medeni, Tunç Durmuş (2025-10-30)
This study addresses the challenges in analyzing data from a ground-based atmospheric Cherenkov gamma telescope, aiming to simulate and observe high-energy gamma particles. Notable challenges include differentiating sign...
From Guidance to Practice Implementing Open Science Data Policies in Crisis Situations
Başbuğ Erkan, Berna Burçak (2025-10-16)
Disaster Data Sharing, Warning and Informing
Başbuğ Erkan, Berna Burçak (2025-10-16)
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