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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)
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...
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...
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 ...
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...
Extension of Leap Condition in Approximate Stochastic Simulation Algorithms of Biological Networks Demirbüken, Saliha; Purutçuoğlu Gazi, Vilda (2022-11-01)
GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms DAĞ, OSMAN; KAŞIKCI ÇAVDAR, MERVE; İlk Dağ, Özlem; Yesiltepe, Metin (2022-11-01) Selection of differentially expressed genes (DEGs) is a vital process to discover the causes of diseases. It has been shown that modelling of genomics data by considering relation among genes increases the predictive perfo...
Robust estimation in multivariate heteroscedastic regression models with autoregressive covariance structures using EM algorithm GÜNEY, YEŞİM; ARSLAN, OLÇAY; Gökalp Yavuz, Fulya (2022-09-01) © 2022 Elsevier Inc.In the analysis of repeated or clustered measurements, it is crucial to determine the dynamics that affect the mean, variance, and correlations of the data, which will be possible using appropriate mode...

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