Fulya Gökalp Yavuz

E-mail

fgokalp@metu.edu.tr

Department

Department of Statistics

ORCID

0000-0002-7750-9767

Scopus Author ID

56964286200

Web of Science Researcher ID

AAZ-5466-2020

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 relationship between recreational cannabis use, psychotic-like experiences, and the salience network in adolescent and young adult twins Atmaca-Turan, Hande; Şahin-Çevik, Didenur; Çakar, Serenay; Gökalp Yavuz, Fulya; van den Heuvel, Martijn; Rijsdijk, Fruhling; Filbey, Francesca; Toulopoulou, Timothea (2025-10-07) BACKGROUND: The use of cannabis in adolescence and early adulthood, critical phases for brain development, is linked to psychotic-like experiences (PLEs). The underlying mechanisms, however, remain unclear. This research e...
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...
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...
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...
Variable selection in robust heteroscedastic models with autoregressive covariance structures using EM-type algorithm Gökalp Yavuz, Fulya; GÜNEY, YEŞİM; ARSLAN, OLÇAY (2022-12-19) The joint modeling of location and scatter matrix with multivariate t-distribution provides a valuable extension to the classical approach with normal distribution when the data set under consideration involves outliers or...
Dependency Structure-Based Cognitive Data Analysis Çakar, Serenay; Gökalp Yavuz, Fulya (2022-11-03)
Cross Country Analysis of the Mathematical Achievement Scores with TIMSS Data Koca, Burcu; Gökalp Yavuz, Fulya (2022-11-03) Providing qualified education and raising well-educated students are the core responsibilities to achieve success in various areas such as art, science, and culture for countries. The significant paths to do this are track...
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...
Data Science Education for Developing Countries: the Process of Democratization Gökalp Yavuz, Fulya (2022-08-26)

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