Zeynep Işıl Kalaylıoğlu Akyıldız

Department of Statistics
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Variable selection in linear-circular regression models
Çamlı, Onur; Kalaylıoğlu Akyıldız, Zeynep Işıl; SenGupta, Ashis (2022-08-01)
Applications of circular regression models are ubiquitous in many disciplines, particularly in meteorology, biology and geology. In circular regression models, variable selection problem continues to be a remarkable open q...
A flexible Bayesian mixture approach for multi-modal circular data
Kilic, Muhammet Burak; Kalaylıoğlu Akyıldız, Zeynep Işıl; SenGupta, Ashis (2022-01-01)
In this article, we consider multi-modal circular data and nonparametric inference. We introduce a doubly flexible method based on Dirichlet process circular mixtures in which parameter assumptions are relaxed. We assess a...
Analysis of correlated circular and extremal data with a flexible cylindrical distribution
Kalaylıoğlu Akyıldız, Zeynep Işıl (2021-08-01)
In this article, we introduce a flexible cylindrical distribution for modeling and analysis of dependent extremal and directional observations. The distribution can be used to investigate the connection between two related...
Use of Medicinal and Aromatic Plants in Therapeutic Gardens
Arslan, Mukerrem; Kalaylıoğlu Akyıldız, Zeynep Işıl; Ekren, Erdi (EManuscript Services, 2018-8-1)
Introduction: Today there is an accumulation of literature providing evidence for long and short term beneficial effects of living close to nature on various different health conditions ranging from psychological to physic...
A cluster tree based model selection approach for logistic regression classifier
Tanju, Ozge; Kalaylıoğlu Akyıldız, Zeynep Işıl (Informa UK Limited, 2018-01-01)
Model selection methods are important to identify the best approximating model. To identify the best meaningful model, purpose of the model should be clearly pre-stated. The focus of this paper is model selection when the ...
A joint Bayesian approach for the analysis of response measured at a primary endpoint and longitudinal measurements
Kalaylıoğlu Akyıldız, Zeynep Işıl (2017-12-01)
Joint mixed modeling is an attractive approach for the analysis of a scalar response measured at a primary endpoint and longitudinal measurements on a covariate. In the standard Bayesian analysis of these models, measureme...
Factors affecting clinical pregnancy rates after IUI for the treatment of unexplained infertility and mild male subfertility
Atasever, Melahat; Namli Kalem, Muberra; Hatirnaz, Safak; Hatirnaz, Ebru; Kalem, Ziya; Kalaylıoğlu Akyıldız, Zeynep Işıl (Galenos Yayinevi, 2016-9-19)
Objective: The aim of the present retrospective study was to evaluate intrauterine insemination (IUI) clinical experiences and to define the variables for predicting success. Material and Methods: The present study was ...
A test for detecting etiologic heterogeneity in epidemiological studies
Karagulle, S.; Kalaylıoğlu Akyıldız, Zeynep Işıl (2016-02-17)
Current statistical methods for analyzing epidemiological data with disease subtype information allow us to acquire knowledge not only for risk factor-disease subtype association but also, on a more profound account, heter...
On the generalized multivariate Gumbel distribution
Demirhan, Haydar; Kalaylıoğlu Akyıldız, Zeynep Işıl (2015-08-01)
In this article, main characteristics, marginal, joint, and conditional inferences of a generalized multivariate Gumbel model are derived, and random vector generation is described. Distribution of the sum where summands c...
Joint prior distributions for variance parameters in Bayesian analysis of normal hierarchical models
Demirhan, Haydar; Kalaylıoğlu Akyıldız, Zeynep Işıl (2015-03-01)
In random effect models, error variance (stage 1 variance) and scalar random effect variance components (stage 2 variances) are a priori modeled independently. Considering the intrinsic link between the stages 1 and 2 vari...
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