Fulya Gökalp Yavuz

E-mail
fgokalp@metu.edu.tr
Department
Department of Statistics
Parallel computing in linear mixed models
Gökalp Yavuz, Fulya; Schloerke, Barret (Springer Science and Business Media LLC, 2020-09-01)
In this study, we propose a parallel programming method for linear mixed models (LMM) generated from big data. A commonly used algorithm, expectation maximization (EM), is preferred for its use of maximum likelihood estima...
Variable selection in elliptical linear mixed model
Gökalp Yavuz, Fulya; Arslan, Olcay (Informa UK Limited, 2020-08-01)
Variable selection in elliptical Linear Mixed Models (LMMs) with a shrinkage penalty function (SPF) is the main scope of this study. SPFs are applied for parameter estimation and variable selection simultaneously. The smoo...
Fostering Undergraduate Data Science
Gökalp Yavuz, Fulya; Ward, Mark Daniel (Informa UK Limited, 2020-01-01)
Data Science is one of the newest interdisciplinary areas. It is transforming our lives unexpectedly fast. This transformation is also happening in our learning styles and practicing habits. We advocate an approach to data...
USING FUZZY TOPSIS AND REGRESSION BASED WEIGHTS TO RANK E-COMMERCE WEBSITES
ÖZKAN, NECMETTİN FIRAT; Gökalp Yavuz, Fulya (2019-07-01)
Website usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website. Checklists, heuristic evaluations, expert evaluations, ...
Detecting seasonal cycle shift on streamflow over Turkey by using multivariate statistical methods
YILDIZ, DOĞAN; Gunes, Mehmet Samil; Gökalp Yavuz, Fulya; Yildiz, Dursun (2018-08-01)
Climate change analysis includes the study of several types of variables such as temperature, precipitation, carbon emission, and streamflow. In this study, we focus on basin hydrology and, in particular, on streamflow val...
Linear mixed model with Laplace distribution (LLMM)
Gökalp Yavuz, Fulya; Arslan, Olcay (2018-03-01)
Linear mixed modeling (LMM) is a comprehensive technique used for clustered, panel and longitudinal data. The main assumption of classical LMM is having normally distributed random effects and error terms. However, there a...
Thalamic GABA levels and occupational manganese neurotoxicity: Association with exposure levels and brain MRI
Ma, Ruoyun E.; Ward, Eric J.; Yeh, Chien-Lin; Snyder, Sandy; Long, Zaiyang; Gökalp Yavuz, Fulya; Zauber, S. Elizabeth; Dydak, Ulrike (Elsevier BV, 2018-1)
Excessive occupational exposure to Manganese (Mn) has been associated with clinical symptoms resembling idiopathic Parkinson's disease (IPD), impairing cognitive and motor functions. Several studies point towards an involv...
Effects of Dexterity Level and Hand Anthropometric Dimensions on Smartphone Users' Satisfaction
Ozkan, N. Firat; Gökalp Yavuz, Fulya (2015-01-01)
The usage of smartphones instead of simple mobile phones increases sharply in our era, especially among young people, because they do multiple tasks with single equipment. This study mainly focuses on smartphone satisfacti...
The Usage of Two Level Random Intercept Model Specifications in the Analysis of Achievement in Mathematics
Gökalp Yavuz, Fulya; KILIÇ DEPREN, SERPİL (2013-12-01)
Hierarchical models are highly useful tools for clustered and multilevel type of data and coefficients can vary by clusters in these models. In this study, several types of two-level random intercept model specifications a...
Comparing the Predictive and Classification Performances of Logistic Regression and Neural Networks A Case Study on Timss 2011
AŞKIN, ÖYKÜM ESRA; Gökalp Yavuz, Fulya (2013-12-01)
Investigating effective factors on students’ achievement has wide application area in educational studies. Specially, Trends in International Mathematics and Science Study (TIMSS) allows researchers to determine correlates...
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