Department of Statistics, Article

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Recent Submissions

Irregular longitudinal data analysis with statistical and machine learning methods for hazardous asteroids Tanrıverdi, İrem; İlk Dağ, Özlem; Gürkan, Mehmet Atakan (2024-04-01) Observations of the asteroids have been performed as long as it has been feasible by the available observational equipment. Recorded data, going back to 18th century, allowed a classification of these celestial objects’ ha...
PROTECT Başbuğ Erkan, Berna Burçak; EKMEKCİ, PERİHAN ELİF; Murray, Virginia; Crawley, Francis; Zhang, Lili (2024-03-01)
Job Flow Patterns and Productivity Dynamics in Turkish Manufacturing Dogan, Ergun; İslam, Muhammed Qamarul; Yazici, Mehmet (2024-01-01) In this paper, we analyze the job creation and destruction process, and the productivity dynamics in Turkish manufacturing by size, export status, import status and ownership by using a comprehensive firm-level dataset for...
Optimal model description of finance and human factor indices Kalaycı, Betül; Purutçuoğlu Gazi, Vilda; Weber, Gerhard Wilhelm (2024-01-01) Economists have conducted research on several empirical phenomena regarding the behavior of individual investors, such as how their emotions and opinions influence their decisions. All those emotions and opinions are descr...
The ‘PROTECT’ Essential Elements in Managing Crisis Data Policies Zhang, Lili; Ekmekci, Perihan Elif; Murray, Virginia; Başbuğ Erkan, Berna Burçak; Crawley, Francis P.; Li, Xueting; Li, Yandi (2024-01-01) Based on a literature review, policy study, and a conference session discussion, this paper systematically analyzed seven predominant elements in crisis data policies, namely ‘people, resources, operation, technology, ethi...
Joint Robust Variable Selection of Mean and Covariance Model via Shrinkage Methods GÜNEY, YEŞİM; Gökalp Yavuz, Fulya; ARSLAN, OLÇAY (2024-01-01) A valuable and robust extension of the traditional joint mean and the covariance models when data subject to outliers and/or heavy-tailed outcomes can be achieved using the joint modelling of location and scatter matrix of...
A Bayesian hybrid method for the analysis of generalized linear models with missing-not-at-random covariates Ciftci, Sezgin; Kalaylıoğlu Akyıldız, Zeynep Işıl (2024-01-01) Missing data handling is one of the main problems in modelling, particularly if the missingness is of type missing-not-at-random (MNAR) where missingness occurs due to the actual value of the observation. The focus of the ...
Stopping Levels for a spectrally negative Markov Additive process Çağlar, Mine; Vardar Acar, Ceren (2023-12-01) The optimal stopping problem for pricingRussian options in financerequires takingthesupremumof the discounted reward function overall finitestoppingtimes. Weassumethelogarithmof theasset priceisaspectrally negativeMarkov ...
cmaRs: A powerful predictive data mining package in R Yerlikaya-Özkurt, Fatma; Yazıcı, Ceyda; Batmaz, İnci (2023-12-01) Conic Multivariate Adaptive Regression Splines (CMARS) is a very successful method for modeling nonlinear structures in high-dimensional data. It is based on MARS algorithm and utilizes Tikhonov regularization and Conic Qu...
Learning from stress: Transforming trauma into sustainable risk reduction Başbuğ Erkan, Berna Burçak; ÇELİK, SÜLEYMAN; Comfort, Louise (2023-12-01) This study explores the collective learning process that evolved in the cities, towns, and districts damaged in the February 6, 2023, Kahramanmaraş earthquakes in Türkiye. Employing a multi-methods approach and a dataset c...
Examining parallelization in kernel regression Oltulu, Orçun; Gökalp Yavuz, Fulya (2023-11-04) For a few decades, parallelization in statistical computing has been an increasing trend, and researchers have put significant effort into converting or adjusting known statistical methods and algorithms in parallel. The m...
Forecasting Performance of Machine Learning, Time Series and Hybrid Methods for Low and High Frequency Time Series Özdemir, Ozancan; Yozgatlıgil, Ceylan (2023-11-01)
A new collective anomaly detection approach using pitch frequency and dissimilarity: Pitchy anomaly detection (PAD) Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2023-09-01) Anomaly detection in time series is an important process that can aid in both preprocessing and postprocessing, particularly in biomedical data modalities where anomalies often signify the presence of disorders that requir...
Impact of point-of-care ultrasound and routine third trimester ultrasound on undiagnosed breech presentation and perinatal outcomes: An observational multicentre cohort study Knights, Samantha; Prasad, Smriti; Kalafat, Erkan; Dadali, Anahita; Sizer, Pam; Harlow, Francoise; Khalil, Asma (2023-04-01) BACKGROUND: Accurate knowledge of fetal presentation at term is vital for optimal antenatal and intrapartum care. The primary objective was to compare the impact of routine third trimester ultrasound or point-of-care ultra...
The need for data policy in times of crisis: An IDPC CODATA report following a scientific workshop held on 22 October 2022 in Leiden, The Netherlands Başbuğ Erkan, Berna Burçak; Crawley, Francis; Murray, Virginia (2023-04-01)
Earthquake in Turkey exposes gap between seismic knowledge and action – but it is possible to prepare Comfort, Louise; Başbuğ Erkan, Berna Burçak; GÜLKAN, HAKKI POLAT (2023-02-01)
Türkiye: Rubble of corruption fuels earthquake devastation Başbuğ Erkan, Berna Burçak (2023-02-01)
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula Oflaz, Zarina; Yozgatlıgil, Ceylan; Kestel, Sevtap Ayşe (2023-1-01) A range of chronic diseases have a significant influence on each other and share common risk factors. Comorbidity, which shows the existence of two or more diseases interacting or triggering each other, is an important mea...
Hybrid statistical and machine learning modeling of cognitive neuroscience data Çakar, Serenay; Gökalp Yavuz, Fulya (2023-01-01) The nested data structure is prevalent for cognitive measure experiments due to repeatedly taken observations from different brain locations within subjects. The analysis methods used for this data type should consider the...
Systematic review and meta-analysis of the effectiveness and perinatal outcomes of COVID-19 vaccination in pregnancy Prasad, Smriti; Kalafat, Erkan; Blakeway, Helena; Townsend, Rosemary; O’Brien, Pat; Morris, Edward; Draycott, Tim; Thangaratinam, Shakila; Le Doare, Kirsty; Ladhani, Shamez; von Dadelszen, Peter; Magee, Laura A.; Heath, Paul; Khalil, Asma (2022-12-01) Safety and effectiveness of COVID-19 vaccines during pregnancy is a particular concern affecting vaccination uptake by this vulnerable group. Here we evaluated evidence from 23 studies including 117,552 COVID-19 vaccinated...

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